PH热榜 | 2025-12-08

一句话介绍：MultiDrive是一款免费、无限制的Windows磁盘工具，通过简单的图形界面或命令行，解决了用户在升级硬盘、系统崩溃后恢复、安全擦除旧磁盘以及全盘备份等场景下，对可靠、易用且免费的专业级磁盘操作工具的需求痛点。

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Windows Productivity Developer Tools

磁盘克隆数据备份安全擦除免费工具 Windows软件磁盘管理数据迁移系统恢复专业工具无广告

用户评论摘要：用户普遍赞赏其“真正免费”模式及简洁高效的设计。主要询问集中在：是否支持增量/差异备份（官方回复目前仅支持扇区级全盘克隆）、未来跨平台支持（Linux/macOS已在规划）、以及商业模式（核心功能永久免费，未来或为专业需求添加付费层）。

AI 锐评

MultiDrive的发布，与其说是一款新工具的面世，不如说是对当前磁盘工具市场“功能付费墙”现象的一次精准狙击。其核心价值并非技术颠覆——扇区级克隆与擦除已是成熟方案——而在于其坚决的“免费无限制”定位与极致的用户体验聚焦。它精准切中了普通用户与IT专业人士的共同痒点：前者苦于复杂操作，后者厌烦工具软件的“套路式”商业化。

产品背后Atola公司的专业数据恢复与取证背景，为这款免费工具提供了可信度背书，也揭示了其深层战略：以MultiDrive作为高效的品牌触点和信任构建器，引流至其高利润的专业硬件工具业务。这是一种典型的“免费+专业”组合拳，用免费工具建立广泛用户基础和口碑，从而巩固其在专业市场的权威形象。

然而，其当前“仅支持全盘克隆”的策略是一把双刃剑。在强调可靠性与对问题磁盘兼容性的同时，也主动放弃了需要频繁、快速备份的用户市场。这一定位选择清晰表明，其首要服务对象是处理“磁盘生命周期关键节点”（如迁移、报废）的用户，而非日常系统维护者。未来若添加增量备份等高级功能，很可能成为其规划中的付费分界线。

总体而言，MultiDrive是一款战略意义大于功能创新的产品。它用纯粹的工具属性，在充斥着试用限制、广告弹窗和功能阉割的市场中，树立了一个清爽的标杆。其成功与否，将考验团队能否在坚持“核心免费”承诺与探索可持续商业模式之间找到平衡。

查看原始信息 ▼

MultiDrive

MultiDrive is a free Windows tool that lets you clone, back up, and securely wipe entire drives. Use a simple GUI or a powerful CLI — whatever fits your workflow. Move to a new PC by cloning your drive, back up your data to avoid loss, and safely wipe a disk before selling it.

Hello PH community! 👋

I’m Tetiana, product manager at Atola Technology.

We are excited to launch MultiDrive, a free Windows tool for backing up, cloning and erasing drives!

We built it with one core belief: essential disk operations - cloning, erasing, and full backups - should be free and accessible to everyone. Thus, MultiDrive is simple enough for anyone to use and powerful enough for professionals.

When I say it’s free, I mean truly free: no upgrade pop-ups, no feature limits, no registration.

What you can do with MultiDrive:
- Move all your data when upgrading to a new drive

- Recover after an operating system crash

- Erase every byte of drive’s data before recycling or reselling the drive

- Fully backup your additional USB stick or SSD with important data

- Clone data from your failing drive with bad sectors

- If you have a bunch of drives to process, run multiple tasks in parallel

We plan to keep all current features free and later add extra paid features.
Atola also builds professional digitall forensic and data recovery tools, so MultiDrive benefits from that expertise.

We would love to hear your feedback! ❤️

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Hey PH people!

I am Vitaliy, CTO at Atola Technology. After 17 years of digging deep into drives, I got tired of seeing basic disk operations locked behind paywalls. Some companies killed their free versions, while others have hidden drive cloning in their paid tiers, and overall, it feels way more complicated than it should be. One of my turning points was when I once tried to help one guy fully erase a USB drive on Windows 11. I was sure it should be simple but I ended up sending him a set of CLI commands via DiskPart 😫

Our goal with MultiDrive is straightforward: make disk operations simple enough that even my mum could plug in a USB stick and erase or back it up. Without ads, nag screns, and annoying upsells.

Hope you’ll find it useful. Happy to answer anything! 😊

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I've used the CLI tool myself. It does a commendable job. Really a useful tool

Congrats on the launch team!

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@chilarai Despite the fact that I think MultiDrive's GUI is gorgeous, the CLI is the true geek way to use this kind of tool. Automation is king! 🙂

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Looks solid. Quick question: does MultiDrive support incremental or differential backups, or is it focused strictly on full-drive cloning? That would make it much more flexible for regular system maintenance.

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@vik_sh Thanks a lot for your question and kind words!

MultiDrive is designed as a sector-by-sector cloning and backup tool. Because of this approach, we currently don’t support incremental or differential backups.

Instead, we focus on full-drive or range-based backups, which are more reliable when the source drive has issues (e.g. bad sectors) and ensure a complete 1:1 copy.

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This is great. A free, no-limit cloning and backup tool is rare. Excited to try it!

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@alia_soni1 Thanks a lot for the kind words! 🙌
We wanted to make this kind of tool available and easy to use for everyone - from individual users to businesses. 🫶

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Congrats with the launch! It is really useful! What is your business strategy and monetization model for this tool?

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@mark_opanasiuk Thank you so much! 🫶

For now, MultiDrive is completely free. We plan to keep the core tool free and later introduce optional advanced features for professional use.
We’ll think about the monetization model later - right now we’re focusing on gathering feedback and understanding what else we can build for our users. :)

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@tetiana_hryshmanovska thanks for this great tool and letting users like me search for a reliable and good cloning tool without paying a penny. I tried many of the tools as your CTO said, that they are hiding behind the paywalls. Thanks for this great tool and let me inform you, that I am planning to move to a new machine and it will help me a lot on that.

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@foyjul_i We’re so happy to hear that MultiDrive is helpful for you! Thank you so much for your kind words.

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Awesome idea! Hope you get 1st today!

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@juliayugo Thank you so much! 😊

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сlean, clone, and conquer. love how straightforward this is - no fluff, just pure utility. congrats on your launch 🚀

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@enesterenko Thank you so much! 🙌

Your comment made our team smile - this is exactly the experience we hoped to deliver! 🚀✨

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Looks handy. GUI for quick stuff, CLI for scripts. I mostly wipe drives before selling and clone when swapping SSDs. Got burned once by a dead drive. Does it do incremental/diff backups or just full clones? Would make weekly backups a lot easier.

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@alexcloudstar Thank you! 🙌
For now, we do sector-by-sector backup and cloning, which is more reliable for booting up. we don’t support incremental or differential backups yet.
With CLI you can automate your workflow, as well as scheduling tasks. :)

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Very interesting product!! 👏🏻 Congratulations 👏🏻 🎉

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@madalina_barbu Thank you so much! 🫶

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Huge congrats @tetiana_hryshmanovska @olexandr_chalyi @tetiana_hrybok ! 🎉
Will Linux/macOS versions be on the roadmap?

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@kate_ramakaieva Thank you so muc, Kate!! 🫶
We built UI on Avalonia, this is a .NET cross-platform UI framework, so we are planning to add Linux/Macos support.

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@tetiana_hryshmanovska Congratulations. And happy product launch.

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@huisong_li thank you so much 🫶

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Are you planning to launch on macOS?

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@mattpawluk Sure, MultiDrive is built on Avalonia, a cross-platform UI framework. So we are planning to add Linux/Mac support. 🙌

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You get my upvote for keeping it totally free, well done!

Still curious to know how you derive revenue out of this. Any ads involved?

Best wishes for the launch!

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@ashok_nayak Thank you 🫶
No registration, no ads :)

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@ashok_nayak Thank you so much for the support, we really appreciate it! 🙌

And great question. I can expand a little. We’ve made a very deliberate decision with MultiDrive: No ads, no data collection, no upsells, no tracking.

MultiDrive is completely free, and all current features will remain free forever.

Two benefits for us:

1. Goodwill + awareness
People learn who we are through MultiDrive, and some eventually discover our pro-grade tools used by labs and law enforcement (forensic hardware tools are our primary business generating income, which helps cover passion projects like MultiDrive 😊)

2. Future optional paid add-ons (very limited)
If we introduce paid features in the future, they would be separate premium layers for niche professional needs, never touching the free functionality people rely on today.

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Can I decide what to clone and what not to clone while cloning?

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@anishsharma I would underline that it's a byte-to-byte cloning. That said, there is a way to clone separate partitions or parts of drives. For that you have to select your source and target drives and then click Options.

The sliders define the start and end offsets for your task. Remember, though, that the entire software is disk-level, not file-level.

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Congrats on the launch! The Parallel Operations feature looks super useful for sysadmins managing multiple migrations. Curious—how are you differentiating this from Clonezilla (besides the obviously better UI)?

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@anastasiia_tilinina That’s a great question! 🙌
Clonezilla has a text-based interface and is mainly for Linux machines, while MultiDrive offers both a GUI and a CLI, and both are very user-friendly. It’s designed to be useful for a much wider audience. Additionally, MultiDrive supports multiple operations at the same time, can pause and resume long tasks, includes secure wiping, and many other features that Clonezilla doesn’t offer.

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Congratulations on the launch 🎉 🎉

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@shubham_pratap Thank you so much! 😊

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Congratulations on the launch, team! Looks amazing!

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@debadrita_banik Thank you so much for your kind words! 🫶

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Can it handle drives with multiple partitions without issues?

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@abod_rehman sure, it does. :)
MultiDrive handles drives with multiple partitions, as well as you can run multiple tasks at the same time!

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Where are those data stored?
Is there any limit for memory?
What will be the pricing for the service?

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@busmark_w_nika
1. Data about completed and paused tasks is stored in a single local database file. You can always delete the file and start using MultiDrive from scratch. Let me know if I've gotten your question right 🙂

2. There are no limits on drive capacity for cloning, backing up, restoring, or erasing. These could easily be multi-terabyte drives.

MultiDrive itself doesn't require much memory to run eating a few hundreds of MB in your RAM when working.

3. We hope to do so in the future. One possible scenario is building specialized MultiDrive version for some B2B market segment. For a while, from my perspective, it's crucial that we claim on the multidrive.io homepage that all the current functionality users rely on will stay free forever! 😎

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Congratulations on the launch and super useful software.

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@alexander_gifford Thank you so much! 😊

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Congrats with the launch! Onward and upward!

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@tima_fey Thank you so much! 🙌

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Nice! Are you planning to extend your offering to MacOS?

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@nikitaeverywhere Sure! MultiDrive is based on Avalonia, a .NET cross-platform UI framework.

We are planning to add Linux and macOS support! 🙂

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Congrats @fmerian for hunting!

Congrats @tetiana_hryshmanovska for being part of the great launch!

I’m someone who’s personally experienced data loss from deleted space, so I know how important this really is.

I’m curious: What are the main alternatives as of December 2025? And in what ways do you stand out from them?

(hardware and software)

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Thank you a lot! We are so thankful to @fmerian and to you @byalexai for your advice. As of your question, some of the main alternatives are Macrium, EaseUS, Hasleo, AOMEI, and Clonezilla (as mentioned here).

The biggest difference is that MultiDrive is a completely free solution - no ads, no limits, no hidden promos. We’re very open about what we do and what features we offer.

Our GUI and CLI are modern and easy to use.

MultiDrive also supports multiple operations at the same time, the ability to pause and resume long tasks, backups in .zip format, and — importantly — it can back up and clone failing or unstable drives.

So if you have an older drive and want to keep its data alive, MultiDrive can help with that. :)

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Hi all!

I’m Yulia from the MultiDrive team.

Thank you to everyone who’s trying MultiDrive, asking questions, and sharing feedback, it really means a lot to us!

One of the things we focused on with MultiDrive is robustness. It handles read errors intelligently, gives you detailed logs, and supports multi-drive parallel tasks, and it won't unexpectedly give up on a task it started! This capacity is usually found only in paid tools, while we like to keep it free for all, at least all the current functionality.

Meanwhile, the interface stays minimal and friendly, so anyone can use it.

If you run into any edge cases or have ideas for future features, we’d really love to hear them! We hope MultiDrive saves you time (and nerves 😅).

Thank you for supporting our launch! 🚀

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When are you coming to macOS @tetiana_hryshmanovska 🙏

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@conduit_design Thank you!! 🙌 We’re gathering feedback right now, so we don’t have an ETA yet for macOS.

But it’s definitely on our roadmap, and we’ll be back with a new launch when it’s ready! 🚀😊

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Going to try this out. Super clean UI.

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@malithmcrdev Thank you! 😊
We’d love to hear your feedback once you try it out.

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Very clean, simple hard drive management! Is it only for Windows??

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@pasha_tseluyko Thank you! 😊 Yes, it’s Windows-only for now, but MultiDrive is built on a cross-platform framework (Avalonia), so Linux and macOS support are coming next.

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This could definitely save lots of money! Does the speed of process depend on the size of drives?

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@cruise_chen Nope. The speed depends on the linear read/write speed of the drives involved in the process. The performance is defined by the speed of the slowest participant: source or target drive. In case of Erase process, it is only the linear writing speed of the target drive that matters.

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一句话介绍：一款专为生物医学研究设计的领域原生AI智能体，通过整合150多种工具和100多个学术数据库，在单一平台内解决研究人员因工具碎片化而导致的流程中断、效率低下问题，实现从文献分析、实验设计到数据解读的端到端工作流自动化。

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Productivity Artificial Intelligence Science

AI科研助手生物医学研究工作流自动化多组学分析药物发现临床基因组学文献智能实验室协议数据整合智能体

用户评论摘要：用户普遍认可其解决研究工具碎片化痛点的价值，认为它能显著提升效率。核心反馈包括：高度赞赏其深度理解生物医学复杂性的能力；肯定其将计算分析与实验设计结合的实用性；期待其在跨学科沟通（如精神健康与普通医学）等方向拓展；并询问与现有临床级变异解读工具（如VarSome）的性能对比。

AI 锐评

SciSpace BioMed Agent的亮相，与其说是一款新工具，不如说是对传统生物医学研究范式的一次“集成式革命”。它直击该领域最顽固的痛点：高度碎片化的工具生态。研究人员长期在文献数据库、分析软件、实验设计工具之间疲于切换，导致上下文丢失和效率损耗。此产品试图用“AI智能体”这一统一接口，将散落的工具链编织成连贯的工作流，其价值核心在于“流程再造”而非单一功能增强。

然而，其真正的考验在于“深度”与“可靠性”。评论中“理解生物医学复杂性”的赞誉，恰恰点明了其成败关键：它能否超越表面信息整合，实现真正专业的领域推理？例如，在变异解读或克隆设计等关键环节，其结论的可信度、可重复性及与金标准工具的一致性，将是研究人员能否从“尝试”转为“依赖”的决定因素。当前展示的更多是“连接”的能力，而生物医学研究的严苛性要求的是“精准判断”的能力。

此外，其商业模式与数据壁垒问题值得关注。集成大量专业数据库和软件必然涉及复杂的授权与合规，其“统一平台”的便利性能否持续，且不沦为另一个昂贵的订阅负担？它宣称的“民主化”愿景，与可能存在的技术及成本门槛之间，存在需要平衡的张力。总体而言，这是一款极具前瞻性的产品，它描绘了AI驱动科研的清晰未来，但其能否在专业的深水区站稳脚跟，并构建可持续的生态，将是下一阶段的观察重点。

查看原始信息 ▼

SciSpace BioMed Agent

SciSpace BioMed is a domain-native AI Agent for biomedical research. Leveraging 150+ tools & 100+ academic databases/software, it analyzes datasets, interprets variants, designs cloning, wet-lab workflows, aids rare-disease and therapeutic discovery, giving actionable insights across biology, medicine, and genomics.

Thanks @benln for hunting us!

Hello Product Hunt Community 👋,

I’m Saikiran Chandha, founder of SciSpace.

Today, we’re excited to introduce the SciSpace BioMed Agent, a domain-tuned AI Co-Scientist built specifically for biology and medicine.

Why we built this?
Biomedical researchers juggle scattered tools from literature search and pathway mapping to data analysis, protocol troubleshooting, and experiment design. Every step requires switching apps, losing context, and restarting analysis from scratch.

We built the BioMed Agent to eliminate that fragmentation. It works like a research-native agent that understands biological concepts, reads your papers, ingests your datasets, interprets protocols, and runs your clinical workflows end-to-end, all in one place with a single prompt.

What does the Agent do?
* Reduce complexity in biomedical research
* Automate repetitive workflows end-to-end
* Interpret multi-modal datasets (omics >> clinical >> wearables >> imaging)
* Augment human reasoning with deep biological insight
* Democratize advanced capabilities so every lab, student, and clinician can access expert-level analysis
* Bridge disciplines by connecting genetics, pathways, pharmacology, regulation, and disease biology

In short, SciSpace BioMed Agent is here to make biomedical research faster, more accessible, and more effective.

Who is it for?
PhD students, postdocs, biomedical researchers, and clinicians.

Key Features
* Unified Interface: 150+ tools & 100+ academic databases and software in one platform
* Massive Research Corpus: Access the most relevant papers for evidence-grounded insights
* Interactive Outputs: Ask follow-ups, refine analyses, and iterate in real-time
* Smarter Literature Reviews: More relevant reviews with a customized table of insights

Primary Use Cases:
* End-to-end biomedical data analysis
* Variant & genetic reasoning
* Clinical genomics intelligence
* Drug discovery & pharmacology
* Lab workflow automation (CRISPR, primers, cloning)
* Multi-omic & single-cell analysis
* Microbiome & real-world data interpretation
* Publication-ready figures, tables, and presentations

Explore it now and see how fast your biomedical research can go 👉
https://scispace.com/biomedical

Explore SciSpace BioMed Agent today!
Get exclusive Product Hunt access with a special launch discount 👉 PHB50 and get $50 off on annual plans

Shout-out to our amazing team, this wouldn’t exist without your passion and drive! Thanks to the PH community for inspiring makers every day.

We’d love your thoughts 🙂
Run it on your research projects, explore the workflows, and share feedback at community@scispace.us. Your input is invaluable to us:)

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@benln @saikiranchandha This launch means a lot to us.

Biomedical workflows are messy, slow, and far too fragmented, and we wanted to fix that in a real, practical way. Our team spent months building an agent that feels like a capable lab partner, not another interface to wrestle with.

Give it a try, and we’d love to hear if it genuinely makes your biomedical research workflow smoother!

Cheers.

Shanu

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@benln @saikiranchandha

After more than two decades in healthcare and loves medicine just as much as he loves electronics and AI, I’m always testing

new platforms. Recently, I spent time comparing different AI agents — and SciSpace BioMed

Agent stood out in a way I honestly didn’t expect.

What struck me wasn’t just the speed. It was the depth.

It is really a wonderful tool that closed a huge gape in the biomedical field especially in healthcare.

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@benln @saikiranchandha Really like how you addressed fragmentation in research workflows. A unified agent experience can save so much time for teams working across datasets and literature.

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Big congratulations to the team.

This looks like exactly what the field needs: an AI that speaks the complex language of biomedics and connects the dots between datasets, literature, and experimental design. If it can reliably assist with cloning strategies or variant interpretation, it will become an essential part of the daily workflow. Fantastic achievement I should say 🤝

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@abod_rehman Thank you! That’s exactly the gap we’re aiming to close, giving researchers an AI agent that actually understands biomedical complexity and supports real lab decisions.

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@abod_rehman Thanks for your kind words!

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As someone who works in molecular biology, this sounds incredibly useful. I appreciate how it combines experimental design with data-driven insights, something I constantly need but rarely find in a single place.

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@latham_ryan Thanks! Great to know it’s been helpful to you :)

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@latham_ryan Thanks for your kind words!

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I'm drawn to how this AI blends academic databases with real experimental workflows. That's exactly what I need when I'm moving from literature review to designing practical steps in the lab.

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@tish_vivenzio Glad it resonates! Thanks for sharing this:)

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@tish_vivenzio Good to hear that:)

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You go my vote. Next step would be cross-discipline communication. Example: mental health <> general medicine. Just a thought.

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@osakasaul Thanks so much for the vote! And yes, cross-disciplinary communication is a valuable direction. We’ll definitely keep this in mind:)

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@osakasaul Thanks for your support!

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I love how this agent seems built for researches like me who constantly balance computational analysis and biological intuition. It honestly feels like a powerful sidekick for variant interpretation and experimental planning.

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@zainab_adamu1 So good to hear! Supporting real computational-bio workflows is exactly why we built it.

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@zainab_adamu1 Thank you!

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This sounds perfect for me since I often struggle to connect datasets with experimental plans. Having an AI that truly understands genomics and wet-lab design would make my workflow smoother and more focused.

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@itohan_blessing_eigbadon Thanks for your kind words:)

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@itohan_blessing_eigbadon Good to hear that! Try it out and share your thoughts:)

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As someone constantly digging through research tools, I'm impressed by how this AI brings everything under one roof. It feels like something I'd keep open all day while planning workflows or exploring therapeutic angles.

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@adebayo_fatima Love hearing this! So yeah, our whole idea was to cut down the tool-hopping biomedical researchers deal with every day. Glad you found it useful:)

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@adebayo_fatima Thank you:)

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The problem described here is painfully real. If this fixes that, it will save researchers so much mental energy. 🧠🦾

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@ana_popescu2 Exactly! Saving mental bandwidth for researchers was a big part of why we built this. Try it out and let us know your thoughts

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@ana_popescu2 True that! Explore it for yourself and let me know how it helped:)

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Amazing! My lab group is definitely adopting this

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@arpitranjan Awesome! Hope it makes your workflow smoother and experiments easier:)

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@arpitranjan Great to hear that!

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I love that it isn't just another generic AI tool but something designed to real biomedical complexity. As someone who constantly cross-checks experiments and literature, I feel like this could give me clarity faster. It's the kind of assistant I've wished for in the lab.

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@tamar_waziri Thanks for your kind words:) And yes, that’s exactly what we aimed for: to build an agent that actually understands the complexity of biomedical workflows and helps make sense of experiments and literature faster.

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@tamar_waziri Thanks for your support. Yes, it's an AI agent built to understand biomedical language and not just another Chatbot.

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For someone like me who spends hours interpreting variants, this feels like a real breakthrough. I'd love having an intelligent assistant that undersatnds the complexities behind biomedical datasets and delivers useful, targeted insights.

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@dick_carville Thanks for your kind words:)

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@dick_carville Thank you! Do explore it and share your feedback:)

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Congrats.. very nice and clean website 👏👏

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@dessignnet Thanks for your kind words!

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I love this. How does your variant interpretation compare to clinical-grade tools like VarSome or Illumina BaseSpace?

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Really thoughtful product design. Congrats on the launch!!

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@istiakahmad Thanks for your kind words!

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@istiakahmad Thank you!

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A super handy tool for decoding scientific papers—just highlight anything confusing and get clear explanations instantly. The follow-up questions and smart, keyword-free search make research faster and much easier.

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@gaurav_mandal Thanks for your kind words!

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@gaurav_mandal Thank you!

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Does the agent support full multi-omics pipelines end-to-end or only specific workflow components?

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A unified AI agent for biomedical research was long overdue. SciSpace seems to be filling the gap. :)

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@zerotox Thanks for your kind words!

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@zerotox Thank you:)

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How does it handle ambiguous or low-quality datasets?

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The depth of biological reasoning you mentioned is impressive. Congrats on shipping!

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@himani_sah1 Thanks for your kind words!

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@himani_sah1 Thank you!

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Looks handy. If it can actually unpack gnarly methods and those dense tables, big win. The no keyword search sounds useful when I can’t name the thing. Curious how it handles preprints vs paywalled PDFs. Saving for my next PubMed rabbit hole.

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@alexcloudstar Thanks! Give it a spin for paper discovery and let me know how it works for you.

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@alexcloudstar Thanks for your support. Oh yea, please give it a try to discover papers related to medicine and bio. It helps you get the most relevant papers.

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Fantastic work! 🚀
I thiink this could seriously accelerate early-stage research.
Are you planning to introduce collaboration features so research teams can work inside the same agent environment?

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@kate_ramakaieva Thanks for your kind words! Collaboration features are definitely on our roadmap

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@kate_ramakaieva Thank you!

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This is incredibly exciting.

It feels like we're witnessing a fundamental shift in how biomedical research is done. The potential for rare disease discovery here is particularly inspiring.

Best wishes for the launch!

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@justin2025 Thanks for your kind words!

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@justin2025 Many thanks for your support:)

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Is this an Indian company?

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一句话介绍：一款集成了AI人声、AI乐器和生成式模型的“AI优先”音乐工作站，为独立创作者提供了从灵感到发布的端到端一体化工作流，解决了个人创作者在音乐制作中缺乏团队协作与专业工具的痛点。

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Music Artificial Intelligence

AI音乐生成音乐工作站创作者工具人工智能语音合成编曲软件创意赋能独立音乐人音频处理工作流整合

用户评论摘要：用户普遍赞赏其流畅的一体化工作流、干净的界面以及对创作者“控制感”的重视，认为其超越了“一键生成”。主要问题/建议包括：询问对视频配乐工作流的支持、未来是否集成音乐发行功能、以及AI能处理的音乐风格范围。

AI 锐评

ACE Studio 2.0的发布，标志着AI音乐工具从“猎奇玩具”向“专业工具”的关键转折。其核心价值并非在于生成算法的炫技，而在于清醒的产品定位：**将离散的AI能力（人声、乐器、曲式生成）工程化为一个可控、可编辑的标准化工作流**。这直接击中了当前AI创作领域的核心矛盾——生成易，精修难；创意多，落地少。

产品团队对“人类驾驶员”角色的坚持，是对抗AI“黑箱”与“同质化”风险的明智策略。它本质上售卖的不是AI的“自动化”，而是“可预测的增强”。通过将AI模块化为工作站中的虚拟“乐手”和“制作人”，它让创作者重新获得了音乐生产中的“结构权”和“微操权”。这使其用户画像从“好奇的业余者”精准转向了“有明确表达诉求的严肃创作者”。

然而，其面临的挑战同样清晰。首先，技术层面，如何保证各AI模型输出在音质、音乐性上的“专业级”稳定性，是能否真正进入专业市场的门槛。其次，生态层面，作为一个工具，它需要与现有的音乐制作、发行生态（如DAW、流媒体平台）更深度地整合，否则易沦为孤岛。评论中关于发行功能的询问，正点中了这一软肋。最后，哲学层面，“增强而非替代”的叙事固然正确，但工具的强大本身就在重新定义“创作”的边界，团队需持续思考如何引导工具用于激发原创性，而非高效模仿。

总体而言，ACE Studio 2.0是一次重要的范式推进。它不再问“AI能做出什么音乐？”，而是问“音乐人想用AI做什么？”。它的成功与否，将检验在内容创作领域，一个以“工作流”为中心、人类主导的AI工具模型，是否比单纯追求生成效果奇观的模型，拥有更持久的生命力。

查看原始信息 ▼

ACE Studio 2.0

ACE Studio 2.0 is an AI-first music workstation that brings a whole lineup of AI models into one smooth workflow, from vocals and instruments to full-song generation and beyond, so a single creator can work like a full team from first idea to final release.

Hey Product Hunt! (〃∀〃) I’m Joe, the founder of ACE Studio, and I’m excited to share ACE Studio 2.0 with you today. AI music is wild right now. Anyone can generate a track in seconds. But as this becomes normal, real music makers need more than a one-click “make a song” button. They want control, structure, and the freedom to express their own ideas. That’s where ACE Studio 2.0 comes in. It’s an AI-first music workstation that brings AI vocals, AI instruments, and generative music models into one smooth workflow, so one creator can work like a full team, from idea to release. ACE Studio 2.0 is for anyone who has a music dream in their heart and needs more than one-click generation. We believe making music should be fun -- and that fun shouldn’t be taken away by AI. Cheers, and I’d love for you to try it out and tell us what you think! 🎧✨

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@joe_guo1 Congrats on the launch! The focus on giving creators control rather than just one-click generation is exactly what the AI music space needs. Can't wait to try the workflow.

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I just tried it out and was truly amazed.

Now solo creators can manage AI vocals, instruments, and full songs just like a team. AI has ushered in the best era for creators.

I’ve already shown my support, good luck with the launch!

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@justin2025 Thank you Justin for the support and all. Yes, we truly believe AI as a tool can speed up human exploration and creation!

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@justin2025 Thank you for your support!

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Thank you so much Justin!

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As the Co-Founder & CTO of ACE Studio, I’m incredibly excited to share that after an intense development period, ACE Studio 2.0 is finally live!

We’ve always wanted to make it easier for creators to turn the melodies in their minds into real, beautiful music. With 2.0, we’re taking a big step toward making that experience smoother and more accessible for everyone.

As the person leading the technical side, I’m fully aware that there’s still a lot we can improve, and yes, plenty of bugs we need to fix. But we’re committed to continuously polishing the product and pushing the boundaries of what AI-powered music creation can become.

Thank you all for your support and feedback. It truly motivates our team to keep building and refining ACE Studio into the tool that music creators deserve.

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The interface is really good. I saw some beta features like video to SFX and Video to Music. Does it help with adding sound effects to motion graphic videos also? If yes, then it will speed up my editing workflow for sure

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@anishsharma Yes. Please try it out. It really easy to help explore music ideas for videos

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Mind blowing!

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@rissa_cao Thank you!

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@rissa_cao Thank you Rissa!

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Thank you Rissa!

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So does that mean I have the tools to beat Justin Bieber? 🤣

Also, what all genres can it play?

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@chilarai Haha exactly! If you want to go head-to-head with Justin Bieber, ACE Studio is definitely the perfect weapon!😂

Our Generative tools can create almost any existing music style. As for the Vocal Synth models, they're best at Pop, jazz, soul, country, and similar genres. And you should definitely try our child voices and opera voices, they're super amazing!

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ACE Studio 2.0 is here 💥

It carries our vision for the relationship between humans and AI:

Augment human intelligence and keep humans in the driver’s seat.

Hope you enjoy ACE Studio on your music creation journey!

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This feels like a big step forward for AI-assisted music making. Excited to explore it

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@victorzh Thank you Victor!

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Thanks a lot!

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The interface looks clean and inviting. Looking forward to testing it.

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@luke_pioneero Thanks Luke, let me know if you encounter any issues. My email: joe@acestudio.ai

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@luke_pioneero Thanks, making the interface simple and easy to use is our goal.

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What time we live in - you can write an album in a day and earn money on streaming. And use AI to create UGC content to promote it.

I saw a guy today on Reddit who vibe-coded a product and sells AI-generated focus-music for work.

Awesome.

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@pasha_tseluyko Thanks

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What I just witnessed feels like watching lightning strike twice in the same spot.

The days of needing an army to birth a symphony are over. AI has handed every dreamer the keys to a fully-staffed recording studio that fits in their pocket. We're not just living through change - we're surfing the tsunami of creative democratization.

Consider this my battle cry of endorsement. May your launch shake the foundations!

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@yuki1028 Thank you so much YUKI!

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@yuki1028 Thank you! Your words have made us very honored!

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I gave it a quick try and was honestly surprised by how smooth the workflow feels. It’s rare to see vocals, instruments, and generation stitched together this well. Congrats on the launch!

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@sandy_liusy Thank you for trying ACE out Sandy. Appreciate the kind words!

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This looks damn promising!

I am wondering if you have any plans to allow creators to release their music directly through your platform in the future?

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@polman_trudo Thanks for the support Polman. We'll build an community for artists using ACE Studio to share their music as well as their personality and stories. We believe great music comes with great stories. With ACE Studio, creators can explore their ideas and express their stories in a smooth and fun way!

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I'm Maxine, Head of Operations at ACE Studio! I'm so excited to launch ACE Studio 2.0 on Product Hunt today. In this brand new version, we've integrated AI Vocal Synth, AI-driven Instrument Libraries, Generative Models, and AI tools such as stem splitter into a unified workspace, allowing musicians to better leverage AI capabilities while retaining creative control over their work. We've spent several months perfecting the models and user experience to finally bring you this upgrade. I'm confident that ACE Studio 2.0 will be your best companion in music creation!

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This is a beautiful example of where AI creation tools should be heading.

The first wave was “one-click magic,” but serious creators eventually hit the ceiling — no structure, no control, no ability to refine or imprint their own style.

ACE Studio 2.0 feels like the beginning of the second wave:

AI that doesn’t replace the artist, but augments the entire creative workflow end-to-end. Bringing vocals, instruments, and generative models into a unified canvas is exactly what’s needed to let one person operate like a full studio.

Super polished launch. Congrats to the team — this is going to push the whole category forward.

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@dr_alaska Thank you Alaska. I resonate with your comments a lot. We genuinely believe that AI WILL NOT replace human artists. Because AI is not able to propose original ideas. And every era-defining music genre is original, and is condemned even by the early critics. So, no existing data, no RL magic(because the human feedback is noisy at the beginning). How can AI invent rock music before rock music is invented, right? We believe AI music will be nothing but another tool. Tools will not replace human creators, but tools will replace old tools. So, we are trying to build the future of music creation tools.

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@dr_alaska Thank you Alaska! You understand us so well! Augment human intelligence and keep humans in the driver's seat, that is our vision for the relationship between humans and AI.

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Congrats! I’m especially curious about how the AI vocals work.

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@carlvert Thanks Carlvert. Basically, the AI vocalists will turn your melody and lyrics into human-level expressive vocal tracks. It's very useful for music makers to test ideas with different singing style, or produce demo songs.

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Congrats for the launch. This unlocks ai native music generation

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Keeping the fun—and the ownership—in the creative process feels like the right direction. Congrats on the launch!

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ACE Studio 2.0 is a game-changer for solo music creators! Its all-in-one AI music workflow (vocals, instruments, full-song generation) turns a single artist into a full production team—smooth, powerful, and perfect for taking ideas from concept to release. A must-try for anyone making music independently!

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I tried this product, it's amazing

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Congrats.. very cool .. your website looks very professional 👏👏

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Congrats on the launch! Love that you’re giving musicians control instead of replacing their creativity. How flexible are the AI vocals when it comes to different styles or genres?

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@vik_sh Thanks Viktor. We have 140+ AI vocalists, Rock, Country, Hiphop, Kpop, Ballad, Cinematic, Opera, even kids choir. And they all have parameters you can control the nuances. Besides, you can train your own custom voice on ACE Studio

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Congrats on the launch! Is there a way to identify existing melodies while creating?

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@ashish_dubey11 Thank you! We have a model that can analyse midi from the audio if that's what you ask

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Weekend tinkerer here. The one‑person workflow makes sense. Curious how the vocals sound and if it plays nice with my DAW — stems/MIDI out? Also, does it run smooth on a 2019 MacBook. If it helps me finish drafts, that’s tempting.

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@alexcloudstar We provide the ACE Bridge plugin, so it integrates well with any DAW that supports VST3, AU, or AAX. Of course, you can also directly export the rendered audio and drag it into your DAW. You can hear vocal demos on our official website at https://acestudio.ai/, or search for ACE Studio on YouTube to hear what others have created. As for a 2019 MacBook, since we can perform AI rendering entirely on cloud servers, it will work, but I'd say it won't be as smooth as on a newer computer.

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@alexcloudstar Thank you! The vocals sound pretty natural and expressive. And we have a bridge to connect with a DAW. It works fine on a 2019 MacBook.

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Looks like a solid setup for solo creators who want more control over their tracks.

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@abod_rehman Thank you Abdul!

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@abod_rehman Totally agree! Thank you Abdul!

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@abod_rehman Thank you!

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Seems like a Canva for musicians! Ace studio definitely could ace music creation and I hope it has more control than Suno!

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@cruise_chen Yes! It's exactly like Canva for musicians! Compared to the current Suno Studio, ACE Studio better supports the key feature of controlling melodies through MIDI. Musicians can first use our AI voices or AI instruments to sing/play their own MIDI compositions, then use the magic of generative models to add more layers or enhance the entire section. This way, musicians can maintain control over their creative direction while saving a lot of tedious work.

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@cruise_chen Yes! Exactly! Thank you so much!

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@cruise_chen Thanks. It indeed has more control than Suno

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Our team once developed NetEase Cloud Music, which ranked second in the Chinese music market. We've observed that an increasing number of users prefer new original music over that from established artists. AI music creation has the potential to significantly accelerate this trend.

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@andrew_wy A lot respect to NetEase music, you guys have the best taste and the best community. Totally agree that we need more newcomers in music world! and AI will definitely speed it up.

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@andrew_wy It's our honor to receive your comment!

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Guo is a fantastic founder. This project has potential—it really looks like it could become the 'Cursor for music.' Keep up the great work!

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@gofurther Thanks Charles. You know me personally? Who are you, my friend?

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Congrats on the launch. What is the difference between ACE studio and Suno?

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@ray_luan Thanks Ray. ACE Studio 2.0 is a music canvas with powerful music models integrated in one smooth workflow in order to speed up exploration and enhance creativity of human creators. Suno is more of replacing human on music making. We don't believe one-click generation will invent era-defining music genres, and we believe as AI hype grows, true creators need more than that.

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@ray_luan Thank you Ray! In short, I think ACE Studio is more like an editor with generative AI, Suno is more like a generator. Editor is better suited to the needs of creators who want deep control over their content.

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I want to know who owns the AI-generated music. Thanks!

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@charlenechen_123 Thanks for asking. Creators owns the full right of the music.

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一句话介绍：Marble是一款超级简单的无头CMS，通过极简的协作仪表盘和AI辅助写作，帮助开发者和内容团队在发布文章、更新日志和产品动态时，显著提升内容交付速度。

▶

SaaS Developer Tools Artificial Intelligence GitHub

无头CMS 内容管理团队协作 AI写作极简设计快速发布开发者工具 SaaS

用户评论摘要：用户普遍称赞其UI简洁美观，是“让人愿意打开”的CMS。主要关注点包括：实际性能如何、SEO支持情况、团队上手难度、富文本编辑器技术栈（团队回复使用Tiptap定制）。开发者积极回复，并快速修复了提及的CSS问题。

AI 锐评

Marble踏入的是一个竞争已趋白热化的无头CMS赛道，其宣称的“超级简单”是核心卖点，也是其面临的最大考验。从评论看，其“干净轻量”的界面设计确实击中了现有工具普遍复杂、体验不佳的痛点，赢得了第一眼好感。然而，“简单”一词在CMS领域是双刃剑：对轻量用户是吸引力，对需要深度定制和复杂工作流的企业则可能意味着功能不足。产品目前强调AI写作、Webhook集成和快速发布，定位更偏向于初创公司或项目团队的内容发布“加速器”，而非全能型内容中枢。

值得警惕的是，评论中关于SEO功能的两次询问及团队略显模糊的回复（“拥有所有需要的字段”），暴露了产品在营销话术与功能具体性上可能存在缺口。在SEO已成标配的今天，明确的、结构化的SEO功能描述至关重要。开发者社区的积极互动是亮点，但早期好评多集中于视觉层面，缺乏深度使用验证。Marble的真正价值不在于它是否比Strapi或Contentful更强大，而在于它能否将“简单”做到极致，并形成足够平滑的“开发-写作-发布”闭环，成为中小型团队在内容管理上“无脑选择”的默认项。其后续发展，取决于能否在保持简洁的同时，通过API和生态拓展，满足用户增长后自然产生的复杂需求。否则，它可能只会是又一个美丽的“玩具”，而非耐用的工具。

查看原始信息 ▼

Marble

A simple, collaborative CMS for publishing articles, changelogs, and product updates. Designed to help you ship content faster!

With Marble, we've built the simplest way to manage your content. Create posts, collaborate with your team, and use AI to write better content, all from our beautiful, easy-to-use dashboard. Go even further with webhooks to refresh your page, send out newsletters, and more! Developing Marble has been incredibly fun and rewarding, and we are very grateful for the support we received from Upstash, Neon, and Vercel!

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Headless CMS space is crowded, but this looks surprisingly clean and lightweight. Curious to see how it performs in real projects.

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Hey @arslan_ali24 would love for you to give Marble a try. I think it performs pretty well!

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The UI looks super clean. A CMS you actually want to open is rare. Excited to try it out!

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Thanks a lot @maklyen_may yea we worked hard to make Marble look clean!

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It looks fantastic! I’ve always been searching for the simplest possible headless CMS, and Marble seems perfect for that!

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Thank you @bennyqp! Yea we try to be as simple and easy to use by design. If you need any help please let me know!

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Howdy! Love the look of this CMS - good luck with your expansion! I'm curious what library/tooling you used for your Rich Text Editor, if you don't mind me asking? Or if you rolled your own? I've used a variety of them, but struggle to find something that brings me joy. Marble's looks a bit like Atlassian's if I was to toss out a guess?

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Hey @evan_kleiner, thanks a lot we use tiptap and a lot of custom css to make it look like that!

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You have some CSS issue with your FAQs.

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Hey @adsy_me good catch, I rolled out a fix now sorry about that!

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Congrats, product looks amazing. Does it also have options for SEO?

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@anishsharma hi anish, what do you mean by options? right now it has every field you would need for a well optimized page

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Huge milestone! 🚀 So many early teams end up with powerful internal tools but the homepage doesn’t fully communicate the relief of just publishing directly into your product. If you want messaging feedback later, I’d love to help — CMS clarity work can unlock a lot of adoption.

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This dashboard looks really clean! How easy is it to get a team up and running?

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Hey@abod_rehman, thanks it should be fairly straight forward and can be done in a matter of 5 minutes. If you need any help please let me know!

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Great product. Is it SEO and AIO friendly?

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Hey@chilarai, thanks and yes it is!

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Can't wait to use marble for @stagewise ! Congrats and much respect!

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Thanks so much@juliangoetze, looking forward to seeing yall integrate Marble!

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This guy is killing it, wish you all the best for Marble!

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Thanks a lot @moinulmoin!

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Congrats guys! Great product :)

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Thanks a lot @ay_ush, this means a lot to us!

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Well done, much respect, especially the explainer video. ALl take-away, no needless music or flash and sizzle.

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Thank you @osakasaul, tried to make the video as easy to watch as possible, glad you liked it!

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Congrats on the launch!
We are increasing our blogs and publications as we speak. This looks like a wonderful tool to add to the stack. Def going to check it out

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一句话介绍：RightNow AI是一款GPU原生代码编辑器，通过集成硬件感知AI、周期精确GPU模拟器和实时性能分析工具，在GPU内核开发场景中，解决了开发者需在多工具间频繁切换以编写、优化和剖析代码的痛点。

Developer Tools Artificial Intelligence Tech

GPU编程工具 AI代码编辑器 CUDA开发性能剖析内核优化硬件模拟开发者工具编程效率实时分析一体化开发环境

用户评论摘要：用户高度认可其“一体化”理念，认为其解决了工具碎片化痛点。主要问题聚焦于仿真模式性能开销、内存瓶颈自动识别能力等具体技术实现细节，并表达了利用本地LLM的期待。

AI 锐评

RightNow AI的野心，不在于成为又一个功能叠加的IDE，而在于试图重新定义GPU内核开发的“工作流范式”。它直指该领域最顽固的痛点：极致的工具碎片化。开发者长期被迫在代码编辑器、性能剖析器、硬件文档和仿真环境之间进行高频度的认知切换，这种上下文撕裂是效率与深度的主要杀手。

其宣称的“三位一体”架构——硬件感知AI（Forge）、周期精确模拟器、实时剖析器——本质上是在构建一个高度内聚的反馈闭环。真正的价值不在于单个组件的技术参数（如模拟器98%的准确度），而在于将“编写-仿真-剖析-优化建议”这个迭代循环压缩到近乎实时，并统一在单一的代码视图内。这有望将开发者的心智模型从“管理多个工具”转变为“持续与代码和硬件对话”。

然而，其面临的挑战同样尖锐。首先，技术深度与易用性的平衡：评论中关于仿真性能开销和瓶颈自动识别的疑问，正戳中了此类工具的核心矛盾。要提供深度洞察，必然涉及繁重的底层分析，如何保持交互的轻快感是一大考验。其次，生态壁垒：虽然支持多种DSL，但GPU开发生态长期围绕NVIDIA官方工具链构建，说服成熟开发者迁移工作流需要提供数量级的效率提升。最后，其AI组件“Forge”的定位是关键变量。若仅是集成通用代码补全，则价值有限；若真能基于对特定内核行为与硬件架构的深度理解，提供上下文精确的优化建议，才是其颠覆性所在。

总体而言，RightNow AI是一次对准专业深水区的精准切入。它并非面向所有人，而是服务于那些受困于性能调优“细粒度战争”的高阶GPU开发者。其成败将不取决于功能清单是否华丽，而在于那个内聚的反馈闭环是否足够紧密、快速、智能，以至于让开发者再也回不去“五剑客”的割裂时代。

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RightNow

RightNow AI is the first GPU-native code editor supporting CUDA, Triton, CUTE, and Tilelang. Features agentic hardware-aware AI (Forge), cycle-accurate GPU emulator with 98% accuracy across 86+ NVIDIA architectures, real-time profiling with Nsight Compute integration, and line-by-line performance analysis. Write, optimize, and profile GPU kernels in any DSL, all in one editor. Supports all NVIDIA GPUs Free to download with pro features available.

GPU development shouldn't require switching between five tools just to understand why your kernel is slow RightNow AI is the first GPU-native code editor. It brings real-time profiling, a cycle-accurate emulator, and AI that actually understands GPU kernels—all in one place. profile without leaving your code. emulate H100s without the hardware. ask optimization questions in plain english We support CUDA, CUTE, Triton, and Tilelang free to download. give it a try, and join our discord if you have feature requests: https://discord.com/invite/sSJqg...

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@jaber23 Cycle accurate emulation feels powerful. How do you keep performance overhead low? Maybe lightweight modes could help.

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Does it help identify memory bottlenecks automatically, or do I still need to hunt them down?

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This look great!

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@malithmcrdev thanks!!

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Being able to leverage local LLMs for coding more efficiently is awesome.

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Been waiting for something like this! cuda dev has been such a pain with all the context switching between tools

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@istiakahmad that's why we build it:D

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一句话介绍：CUDA 13.1通过引入CUDA Tile等新模型，抽象了Tensor Cores等复杂硬件细节，旨在降低开发门槛，让开发者能更轻松地为现代AI工作负载编写高性能代码。

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Hardware Developer Tools Artificial Intelligence

并行计算平台 GPU编程人工智能开发高性能计算硬件抽象开发者工具 NVIDIA生态模型训练加速软件更新

用户评论摘要：用户肯定此次更新的里程碑意义，对CUDA Tile表示高度期待与赞赏。同时有专业开发者询问具体的核心调度优化细节，以期在现有工作流中快速获得性能提升，这反映了社区对实际技术落地和迁移成本的关注。

AI 锐评

宣称“2006年以来最大扩展”的CUDA 13.1，其核心卖点“CUDA Tile”模型，本质上是一场面向AI时代的“供给侧改革”。NVIDIA的野心远不止于提供更快的硬件，而是试图通过更高层次的抽象，将开发者从复杂的硬件架构（尤其是Tensor Cores）中解放出来，固化其最佳实践。这步棋的精妙之处在于，它在降低AI开发门槛、扩大开发者基数的同时，更紧密地将开发者锁定在NVIDIA的硬件生态上。抽象层越高效、越受欢迎，其底层硬件的不可替代性就越强。

然而，华丽的抽象背后，挑战同样清晰。首先，对于追求极致性能的资深开发者，新的抽象层是福音还是新的性能瓶颈？他们是否需要重新学习并信任这套“黑箱”优化？评论中关于具体内核调度优化的追问，正是这种谨慎态度的体现。其次，此举可被视为对AMD ROCm、英特尔oneAPI等竞品生态建设攻势的一次战略防御，通过提升软件栈的友好度和生产力来加固护城河。但这也可能促使竞争对手加速在易用性上的投入。

真正的价值在于，CUDA正从一种需要深厚专业知识的“手艺”，向更普及的“生产力工具”演进。这不仅是技术的升级，更是生态策略的进化。它旨在从“拥有最强算力”的硬件公司，转型为“拥有最强且最易用开发生态”的平台巨头。成功与否，取决于抽象带来的性能损耗与开发效率提升之间，开发者最终用脚投票的结果。

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CUDA 13.1

NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago.

Hi everyone!

NVIDIA stated that CUDA 13.1 is the biggest expansion of CUDA since it launched in 2006.

CUDA 13.1 introduces CUDA Tile, a new model that abstracts away complex hardware details, like Tensor Cores, making it easier to write efficient code for modern AI workloads.

I happen to be reading Jensen's biography. CUDA changed NVIDIA, and it also changed the world. This update will be the next chapter of that story :)

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CUDA tile is the best<333333

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Monumental launch, NVIDIA team!

To call this the "biggest expansion since 2006" sets an incredibly high bar—excited to see the implications of this scope on large-scale AI training, especially in terms of memory management and inter-GPU communication efficiency.

Which specific kernel/scheduling enhancements should developers prioritize for the most immediate performance gains in existing workflows? Congrats on the release!

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一句话介绍：一款专为乐高收藏者和投资者设计的移动优先产品组合追踪应用，解决了用户在移动场景下管理藏品、追踪实时价值时依赖零散表格和低效工具的痛点。

Fintech Investing Toys

乐高收藏管理投资组合追踪垂直社群工具移动优先藏品估值兴趣投资利基市场免费增值模式电商数据整合

用户评论摘要：用户反馈积极，认可其精准定位乐高收藏细分需求。有效评论包括：创始人阐述产品“移动优先”解决收藏管理碎片化的初衷；用户询问估值数据来源（回复称基于eBay销售数据自动化处理）；另有用户建议增强网站端的搜索功能。

AI 锐评

BrickVault的亮相，远不止是一款“乐高版股票软件”。它精准刺中了兴趣消费与资产投资模糊地带的一个痒点：将情感寄托的收藏品，转化为可量化、可追踪的“数字资产”。其真正价值在于，通过自动化整合eBay市场数据，为原本依赖经验和直觉的收藏市场注入了数据驱动的理性维度，试图将“玩具”纳入严肃的资产组合管理框架。

然而，其面临的挑战与机遇一样鲜明。核心壁垒在于数据：依赖第三方平台（如eBay）销售数据虽能自动化，但数据的完整性、代表性（是否涵盖全球主要交易渠道）及清洗逻辑的透明度，直接决定了估值可信度，这是其作为“专业工具”的命门。此外，从工具迈向平台，它需思考如何构建更深护城河。当前功能仍属“单机”价值追踪，未来能否引入社群洞察、稀缺性分析、甚至保险/交易服务，将决定其天花板。用户评论中透露的“网站端搜索”需求，也暴露出其“移动优先”策略可能牺牲了部分深度管理场景。

本质上，BrickVault是“一切皆可投资化”趋势下的一个微观缩影。它成功验证了高度垂直社群对专业工具存在付费意愿（或潜在意愿）。但其长远成败，不在于功能迭代，而在于能否成为乐高收藏市场的“定价参考标准”之一。这需要极致的专业权威性构建，而这条路，才刚刚开始。

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BrickVault

BrickVault is the ultimate LEGO portfolio tracking app for collectors and investors. Track your LEGO sets, monitor values, and manage your collection with professional-grade tools. Free to use, mobile-optimized, and built for serious LEGO enthusiasts.

I created this because I kept running into the same problem as so many collectors. Tracking LEGO sets was happening in scattered spreadsheets and note apps that were never designed for the hobby. People want to know what they own, what it is worth today, and how its value has changed but they want that insight right where they are. Phones have become our real collection command center yet the existing tools felt like desktop projects squeezed onto small screens. From the beginning the goal was a truly mobile first experience. Not a lightweight companion or an optional add on but the main way to interact with your collection. Fast to open, quick to update, simple to search and easy to understand at a glance. Whenever a new feature was added the question was always how it worked on a phone before anything else. Collectors are checking values on the go, buying at conventions, selling through local marketplaces and discovering new sets on social media. It made sense that their portfolio tool needed to live comfortably in their hand. What started as a simple idea has grown into a platform shaped by real collectors and their daily habits. BrickVault is built to support the hobby in motion and I hope it brings clarity, excitement and a sense of ownership to your collection. If you give it a try I would love to hear how it fits into your collecting journey and what you would dream to see next.

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send it to that one lego friend!

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So cool! Congrats on the launch. I've lost track of many Lego sets over the years... lol

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This is for you, @sandybkwon

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Hehe Loved it Justin! I can't avoid to keep getting impressed by this kind of launches that actually point to a very specific niche. It looks awesome but also makes totally sense for Lego fans. Really congrats man!

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@german_merlo1 thanks!!

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@justinmcardle How do you manage the portfolio pricing? Is it search-based as to what people search most frequently, equating to the LEGO set's value?

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@hetvee_sanghani based on eBay recent sales data on individual sets. All fully automated

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Love your creativity and thoughts. I've never been a Lego collector myself but I'm sure, for the community, it'll add a lot of value

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Haha like it I have only a couple of big Lego sets but still interesting to check the price 😂 Maybe it could be interesting to put search on the website where I can check the price for my set

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@svyat_dvoretski it has search 😆 just go launch app and press “Search”

What sets do you have?! That’s awesome.

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Don't show my friend because he will buy the whole LEGO store (kinda enthusiast, but such a kind of enthusiast that it gets annoying lol) :D

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@busmark_w_nika hahah be careful!

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一句话介绍：一款基于兴趣的人工智能伙伴，通过主动请求或被动推荐，为用户从开放互联网中筛选深度文章与名言，解决高质量、非社交类信息发现难和获取门槛高的痛点。

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Productivity Newsletters Artificial Intelligence

AI信息聚合内容策展深度阅读兴趣学习知识管理开放互联网个人成长效率工具移动应用信息食谱

用户评论摘要：用户普遍赞赏其能高效提升知识谈资、将碎片浏览转化为轻松学习。开发者主动提供了具体内容示例，展示了推荐质量。核心反馈是产品能降低发现优质深度内容的门槛，并带来“轻松有收获”的体验。

AI 锐评

Browser Buddy 瞄准了一个被主流平台忽视的缝隙市场：对非社交驱动、高信息营养密度内容的系统性发现。其真正价值并非简单的“AI推荐”，而在于试图成为开放互联网深度写作的“搜索引擎”和“策展人”，对抗平台算法的信息茧房和内容同质化。

产品聪明地定位了“信息食谱”这个概念，将健康饮食的隐喻迁移到信息消费，直击知识阶层的焦虑。然而，其面临的挑战极为严峻：第一，规模与质量的悖论。小众、深度的内容本身产量有限，AI的“发现”能力严重依赖对长尾独立站点和博客的爬取与理解，技术门槛和版权风险并存。第二，用户习惯的逆流。产品倡导的“主动询问”和“兴趣探索”模式，需要用户具备较强的元认知和学习驱动力，这与被动投喂的消费习惯相悖，可能限制其用户规模。第三，商业化的模糊性。作为流量分发终端，如何在不损害内容调性和用户体验的前提下，与独立创作者或自身实现共赢，是尚未解答的难题。

从评论看，其早期用户画像清晰：有自我提升需求、厌倦浅层信息、并看重社交谈资的年轻专业人士。这一定位精准，但天花板也显而易见。它更像是一个精致的“数字知识分子工具”，而非大众产品。其成败关键在于能否构建一个持续产出高质量推荐、且能形成独特文化品味的推荐引擎，并围绕此凝聚起一个高黏性的社群。否则，它极易沦为另一个稍纵即逝的“效率玩具”。

查看原始信息 ▼

Browser Buddy

Browser Buddy is an AI buddy that curates a feed of thoughtful quotes and essays based on your interests. Ask your buddy for something practical like "how to find my first users", explore rabbit holes like "the history of the internet", or learn about "sustainable urban design" to impress your next date. Start curating your information diet today so you'll always have a feed of wonderful words to read and interesting ideas to talk about.

Finally, something to help me sound smarter on dates without spending 4 hours on obscure blogs 😂 Love this!

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@christian_onochie MIGHT i recommend: https://worksinprogress.co/issue/the-housing-theory-of-everything/ to get you started

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Love this idea! Congrats on the launch.

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@laszlito thank you!

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this setup turns casual browsing into a mini learning session. Feels productive without trying too hard.

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Hey Product Hunt! We’re Arnav and Jeremy and we’re building Browser Buddy, an app that curates quotes and essays based on what you’re interested in.

We’ve always loved personal blogs, essays, and articles on the Internet. As we’ve grown up, this writing was a source of inspiration that helped us discover ideas and opportunities we didn’t even know we were looking for (ex. applying to YC because of PG’s essays).

But despite so many new creators and websites coming online, the best of the open Internet remains hard-to-find, scattered across personal sites, niche publications, and various independent publishing platforms. Outside of “social” media platforms, there’s very high friction to get into a new subject or stumble upon people who write about your interests.

We felt there should be an easier (and mobile-friendly) way to find fantastic media and curate an intentional, interesting information diet for yourself.

Browser Buddy is a feed that curates this interesting, thought-provoking writing for you from across the Internet. We’re excited for you to try it out, download from the app store here!

For any questions, shoot me an email @ jeremy@browserbuddy.com

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Here are some example recommendations:

“I’m trying to grow my early stage consumer internet company”:

https://cdixon.org/2015/01/31/come-for-the-tool-stay-for-the-network

https://www.lennysnewsletter.com/p/how-the-biggest-consumer-apps-got

“I want to learn how to build beautiful web interfaces”:

https://frankchimero.com/blog/2015/the-webs-grain/

https://alistapart.com/article/responsive-web-design/

“Teach me the history of the Internet”:

https://www.mic.com/impact/how-geocities-webrings-made-the-90s-internet-a-cozier-place-19638198

https://computerhistory.org/blog/history-of-the-future-october-29-1969-fifty-years-of-a-connected-world/

“I’m trying to read more about games and game theory”:

https://franklantz.substack.com/p/playing-balatro

https://joecarlsmith.com/2022/03/16/on-expected-utility-part-1-skyscrapers-and-madmen

“I’ve been getting into network science and network theory”: https://www.ribbonfarm.com/2010/10/27/warrens-plazas-and-the-edge-of-legibility/

https://www.strangeloopcanon.com/p/seeing-like-a-network

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一句话介绍：Beanvest是一款专注于“质量投资”策略的AI股票研究平台，旨在帮助投资者在全球范围内识别具备长期竞争优势的高质量公司，并在合理估值时介入，解决了个人投资者缺乏系统化、专业化基本面分析工具的痛点。

Investing Finance Personal Finance

AI股票研究质量投资基本面分析价值投资投资平台金融科技公司评级估值分析个人投资者财务指标

用户评论摘要：用户关注核心财务指标（如ROIC、现金流）的呈现方式，开发者回应其采用指导性框架而非僵化筛选。用户询问与交易平台的联动及AI训练细节，开发者表示暂无交易对接，并透露使用GPT技术结合长提示词。核心讨论围绕AI如何平衡算法筛选与人类判断的细微差别。

AI 锐评

Beanvest 切入了一个看似拥挤但实则空洞的赛道：面向散户的股票分析工具。其宣称的“质量投资”AI研究，概念上精准打击了当下信息过载却深度匮乏的散户痛点——他们需要的不再是更多的数据图表，而是经过框架梳理的、指向明确投资哲学的判断。

产品真正的赌注，在于其“AI”并非传统量化筛选器，而是一个基于大语言模型（如GPT）并灌输了特定投资框架（质量投资）的解读引擎。从回复看，它试图模仿人类分析师的思维过程，强调趋势（如ROIC提升）胜过静态阈值，并敢于为像亚马逊这样传统指标“不佳”但商业模式卓越的公司辩护。这使其与Finviz等传统筛选器拉开了代差，后者无法处理这种“矛盾的卓越”。

然而，其风险与潜力同样突出。首先，“GPT驱动”是一把双刃剑。它带来了理解商业叙述的灵活性，但也伴随着模型幻觉、逻辑一致性与更新延迟的经典难题。开发者称用“很长的提示词”来约束，这更像是一个精心调教的专家系统，其稳定性和深度有待市场检验。其次，它主动放弃了与交易平台的直接导流，这虽然保持了分析的中立性，但也可能削弱对部分追求“一键执行”用户的吸引力，将自身定位为纯粹的“决策支持”工具。

最关键的挑战在于信任构建。当AI给出的评级与用户自身认知相左时（如开发者举例的可口可乐与微软），用户究竟该相信自己的研究还是AI的“框架”？这要求产品必须极度透明地公开其“质量投资”框架的具体维度与权重，否则将沦为另一个无法证伪的“黑箱”建议。如果它能成功地将一套严谨的投资哲学转化为可感知、可验证的AI输出，其价值将远超一个选股工具，而成为一个投资教育与实践的融合平台。但目前来看，它仍处于用AI讲一个更聪明故事的早期阶段，其“研究”的深度与超额收益的可持续性，需要更长时间的业绩来回溯证明。

查看原始信息 ▼

Beanvest Quality Investing

Beanvest is a research platform for quality investing, helping you identify the best companies in the world following a Quality Investing strategy and buying them at a fair price.

Does it surface metrics like ROIC, margin stability, cash flow resilience, etc.? Quality investing lives and dies by those signals.

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@sadam_ansari2 Yes of course! However it has only guidelines and no strict criteria like a screener would. For example a company with low margins can either be bad, or very good if it's done on purpose like an Amazon/Costco. Similarly, it should favor companies even with average ROIC if the trendline is up rather than those with decreasing ROIC.

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You have one of the cutest stock trackers/evaluators. Will there be any option to redirect to trading platforms?

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@busmark_w_nika waiting for more ideas to be uploaded

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@busmark_w_nika Thank you! the cute Beanie character is very much inspired by Duolingo. I'm not sure what you mean bu no, no redirect to trading platform

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Congratulations on the launch.

How have you guys trained your AI? I'm curious how you evaluate things like fair price or quality?

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@alexander_gifford It's GPT 5 Pro with deep research and a very long prompt to make sure it focused on the important stuff

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Love the focus on quality over momentum. That philosophy resonates.

Question: How do you balance automated screening vs human judgment

when evaluating "quality"?

Pure algorithms miss nuance, but pure human judgment doesn't scale.

Curious how you've approached that trade-off in your research.

Upvoted

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@llm_driven I think Beanvest has a completely different approach than using a fixed screener, because you can miss some incredible companies. The best example of that is Amazon (not so great ROIC, low margins, appears expensive, ...) I think AI is almost as intelligent as an analyst, but can scale way better as it has constant up to date data, can analyze many companies in parallel, and strictly respect the framework I gave (that's explained on the homepage, so the prerequisite is that you agree that it's a good investing strategy 😊)

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Congrats on the launch! 🎉 Love seeing a platform grounded in true quality investing philosophy rather than chasing short-term screens. The moat, predictability, and capital allocation lenses feel so refreshing in a world obsessed with momentum trades. Great execution. Curious — any hidden gems you were surprised to discover once applying your qualitative framework?

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@anastasiia_tilinina Thank you! The most interesting things is it evaluates the companies I know about very much like I would, but sometimes with few differences: some companies are rated way better than I would (Coca-cola), some others are currently estimated around fair value where I would think they're expensive (Microsoft), and some have a good score I've never heard off (Halozyme)

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一句话介绍：BrowserBook是一款AI驱动的浏览器自动化IDE，通过集成Jupyter风格笔记本、上下文感知编码助手和内联浏览器，帮助开发者在单一环境中快速构建、测试和部署可靠的自动化脚本，解决了传统浏览器代理成本高、速度慢、不可靠且难以调试的痛点。

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Developer Tools Artificial Intelligence Vibe coding

浏览器自动化 AI编程助手开发工具无头浏览器 Playwright 脚本编写工作流自动化网页抓取测试自动化 RPA

用户评论摘要：用户认可产品定位，认为其在确定性自动化上优势明显。关注点包括：与无代码平台对比的代码可移植性优势、未来是否集成浏览器代理处理弹窗等动态场景、API部署流程、以及具体应用场景如端到端测试和房地产数据搜索。

AI 锐评

BrowserBook本质上是在“AI代理热”中的一次理性回调。它没有跟风制造又一个不可控的AI浏览代理，而是敏锐地抓住了当前AI代理在复杂工作流中“昂贵、缓慢、不可靠、难调试”的核心缺陷，做出了一个关键范式转移：将AI从“执行层”降维至“脚本生成层”。这并非技术降级，而是工程思维的胜利。

其真正价值在于，它用AI能力赋能了经典的、确定性的脚本自动化（Playwright），试图在“全手动编码”与“全黑盒AI代理”之间，开辟一条“人机协同”的务实路径。AI作为上下文感知的编码助手，负责消化DOM上下文并快速生成脚本初稿，而开发者则保留对最终逻辑的完全控制和可调试性。产品设计的亮点在于，它将编写、运行、调试、认证管理、数据提取和API部署缝合进一个笔记本界面，这确实能显著降低自动化脚本的构建与迭代门槛。

然而，其挑战也同样清晰。首先，它服务于一个“专业但狭窄”的群体：既懂代码又不满足于低代码平台限制的开发者。市场天花板需要验证。其次，其宣称的“分钟级部署”在复杂业务逻辑面前可能打折，AI生成的脚本仍需人工审查和调整。最后，来自评论的“浏览器代理”追问直指其战略软肋：面对网页动态变化，纯脚本方案依然脆弱。团队虽提出“自愈笔记本”的远期构想，但这恰恰是重新引入AI智能体的开始，如何平衡“确定性”与“适应性”，将是其未来必须解答的难题。总体而言，这是一个思路清晰、切入精准的工具，但能否从“好工具”成长为“新范式”，取决于其如何演化并守住“可靠”这一立身之本。

查看原始信息 ▼

BrowserBook

BrowserBook is an AI-powered IDE for building fast, reliable browser automations. It pairs a Jupyter-style notebook with a context-aware AI coding assistant and an inline browser, enabling developers to write, test, and debug automations all in one place. With built-in auth management, data extraction, screenshot tools, and API deployment, you can go from idea to production-ready automation in minutes, not hours.

Hey Product Hunt! 👋 I’m Chris, co-founder of BrowserBook here with teammates Jorrie and Evan.

We’re excited to share BrowserBook, an AI-powered IDE for building reliable, deterministic browser automations. It combines a notebook-style interface, an inline browser, and a context-aware coding assistant to help developers write, run, and iterate on Playwright scripts faster with built-in tools for screenshots, data extraction, and managed auth.

Why we built this
Jorrie and I started a healthcare automation company last summer, where we spent lots of time building back-office workflows (think insurance followup, medical coding, etc.) with custom browser agents. During this time, we ran into four major issues with browser agents:

💰 They’re expensive - we burned through tokens with all the workflow context we needed to provide
🐢 They’re slow - all that context let to super high latency on each request
😬 They’re unreliable - even with detailed instructions and tools, agents still drifted on multi-step tasks
🐞 They’re impossible to debug - when they drifted, there was no clear root cause; we often resorted to trial-and-error to resolve issues.

We found ourselves giving our agents scripts to execute at each step of the workflow, and eventually came to the conclusion that scripting was just the better solution. We decided to put the agent at the coding step rather than the execution step, using LLMs to rapidly write scripts based on DOM context, and ultimately built BrowserBook as the tool we wished we had.

So what's included?
The core IDE experience is purpose-built for web automation; some of its features include:

🌐 A fully-interactive inline browser instance that you can run Playwright automations against with the click of a button
📒 A Jupyter-notebook-style interface, so you can just run parts of your automation instead of the whole thing every time
🤖 A context-aware coding assistant so you don’t have to go digging for selectors
🤝 Helper functions for common actions like taking screenshots, data extraction, and managed auth profiles supporting username/password and TOTP for authenticated workflows

When you’re done building, you can run your automation manually through the IDE or via API for use in external agents or apps!

Our initial use case was healthcare automation, but if you’re building automated tests, writing browser-based RPA workflows, web scraping, or have an agent that needs to perform deterministic actions on the web, give us a try - we’d love to hear what you think!

How do I use it?
You can download for Mac at our website: https://browserbook.com

Cheers,
Chris

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@cschlaepfer Great breakdown of the challenges—especially around reliability and debugging. Putting AI at the scripting step instead of execution is a smart shift.

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@cschlaepfer This looks awesome! After starting with healthcare automation, what are some of the most unexpected ways you’ve seen people use Browserbook so far?

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Hi Product Hunt, other co-founder of BrowserBook here! Chris has already explained some of the reasons why we built BrowserBook, so I'm going to share what makes us different from other web automation platforms and why you should give us a try.

The automation software we've seen falls roughly into two categories:

Software SDKs where you need to build it all yourself.
Full automation platforms that tout low or no code automations.

BrowserBook is the sweet spot between these two options.

Don’t know where to start with authentication, hosted browsers, data extraction, session recording, etc.? BrowserBook sets all this up for you with a simple interface that abstracts away the complicated parts so you can focus on writing scripts.

Nervous about using no code platforms to write your production workflows because it’s a startup and when they go out of business in three months all your carefully crafted prompts will be wasted effort? Use us instead! When we go out of business in three months, what you’ll be left with is a bunch of working playwright code.

We’re excited to see what you build!

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Do you guys plan on doing anything at all with browser agents? I feel like they’re useful for adapting on the fly for intermittent things like popups or modals that would get in the way of a normal workflow

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@mats_terwiesch1 appreciate the question - we are exploring ways to bring agentic behavior into BrowserBook down the road, but for now we’re focused on making deterministic automation as smooth and reliable as possible.

You’re absolutely right and we think agents can really shine when dealing with intermittent UI issues like popups, modals, etc. Our view is that if/when we introduce browser agents, we want them to be purpose-built for those specific classes of problems, not a catch-all layer that adds unpredictability to every workflow.

Regardless of the automation approach someone uses (scripts vs agents), DOM changes and breakages will always happen. Where we see a big opportunity (and what we're working on now) is making that recovery process dramatically better through things like self-healing notebooks, which can understand errors and the context that caused them, and generate fixes on-the-fly.

In other words: letting scripts stay deterministic, but giving users agentic tools to automatically resolve the “unknown unknowns.”

Totally appreciate you bringing this up, this is definitely a direction we’re excited about, but we want to introduce it thoughtfully.

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Congratulations on the launch and I like the idea of being able to set up complex automations across any website. I enjoy using GumLoop but I sometimes feel like it's not as customizable as I would like it to be.

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@alexander_gifford Appreciate it Alexander! GumLoop is a great product, and one of our early iterations of BrowserBook was a similar block-based automation builder. Our motivation to shift to an IDE was:

Exactly as you described, we felt drag-and-drop interfaces didn't give us the level of control we wanted,
We wanted to prioritize the developer experience, and developers are often just as comfortable (if not more) working directly with code as they are with visual workflow tools, and
We felt code would be more durable in the long run - at the end of the day, scripts can always be exported in or out of BrowserBook, which just gives users more peace of mind that the logic behind their automations are safe.

If you give BrowserBook a shot, let us know, and feel free to reach out at any time!

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Seems super helpful for building end-to-end tests and evals for webapp-based LLM products without having to rearchitect/reinstrument your whole app. Gonna give it a try and see if I can get a playwright automation going

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@ashwin_dharne Yes, writing e2e test against your prod environment is one of the things we think BrowserBook solves very well and we aim to add first class support for tests/test suites in the coming months! We want you to be able to have the fast iteration loop on writing the tests, then instantly deploy them and run them on e.g. Vercel deployment webhooks.

Our product roadmap is malleable with feedback from users, so if you have a use case in this vein we'd love to hear from you about what you'd like to see from BrowserBook!

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I'm constantly getting fun browser based ideas w/out any desire to rip off that implementation band aid. May even use this to solve some of my personal pains

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@phil_brewer Love it! We've had a lot of conversations with folks who have these sort of workflows they'd like to automate, but don't want to go through the painful implementation step. One of our main motivators is to lower that activation energy so developers can get automations off the ground easily.

Let us know if you want to chat about your use cases, and we'll reach out 😎

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Congratulations on the launch, team! Excited to give this a whirl, it looks awesome.

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@hybrd_ben Thanks, Ben! We're looking forward to any and all feedback!!

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Such a great product with a unique approach. We've been working with BrowserBook, and they know the ins and outs of this space. If you need a way to do repeated browser automations, these guys have cracked it.

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@nimesh_chakravarthi Thanks, Nimesh! We're excited to build this product, we think there's an opportunity to make something that hits a sweet spot between no/low code platforms and having to deal with the sharp edges of building all of it yourself.

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@nimesh_chakravarthi Appreciate it Nimesh! Been really great working with you

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Nice work boys. What's the deployment process like? Is there an API you can use to call automations you build (apologize if this is on the launch video). Use case I have: running a deep search on an address (usually real estate platforms). Currently do manually. Tried to automate with browser-use but it was pretty flaky and didn't have time to figure out the API

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@jack_considine1 Hey Jack, thanks for the question! Yes that's exactly right - the design here is that you use the IDE to build the automation for your use case. You can parameterize it - e.g. implement an input for address - then press the 'snapshot' button, which creates a snapshot of your automation at that moment in time.

From there, simply call the API (see examples from our trusty "API" button)! Right now, you have to query the API for results - e.g. to fetch any data you've extracted - but soon we'll implement webhooks to allow for an event based approach.

Happy to discuss in more detail, and talk through your use case. You can also find more info in our docs: https://www.browserbook.com/docs#api-based-execution

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一句话介绍：Murror AI是一款通过AI对话提供多角度情绪洞察、引导式记录和情感模式追踪的应用程序，旨在帮助用户在感到孤独或情感困惑时厘清感受、提升情绪智力并改善人际关系。

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Android Social Network Artificial Intelligence Health

心理健康AI 情绪分析工具数字日记情感陪伴情绪智力提升隐私加密人际关系辅助自我反思助手情感模式识别日常正念练习

用户评论摘要：用户反馈积极，认可其情感支持的非临床化温和陪伴感。有效建议包括：优化应用商店链接跳转体验；考虑引入真人辅助作为AI补充；建议增加在必要时引导用户寻求真人朋友或专业帮助的机制；询问情感追踪功能是否会拓展至人际关系场景及AI准确性是否随使用提升。

AI 锐评

Murror AI切入的是“情感科技”赛道中一个微妙而关键的空隙：它不试图成为替代专业治疗的临床工具，而是定位为“前临床”阶段的日常情感梳理伴侣。其真正价值不在于AI技术的颠覆性，而在于产品设计中对“孤独感”和“情感表达障碍”的精准场景化捕捉。

产品将传统日记的私密性与AI的结构化分析能力结合，通过“多角度洞察”和“模式识别”功能，试图解决个人在情绪混乱时“不知从何说起”的痛点。这比单纯的情绪记录更进了一步，它提供了认知重构的可能性——而这正是许多认知行为疗法的核心。

然而，从评论中暴露的隐忧也正是其天花板的所在。首先，情感支持的有效性与安全性边界问题凸显。用户直接提问AI是否会建议寻求专业帮助，这触及了AI情感陪伴产品的伦理红线：它必须清晰界定自己的能力范围，避免用户产生过度依赖或延误必要治疗。其次，“越用越准”的承诺是一把双刃剑。在情感领域，数据积累带来的个性化洞察与用户隐私担忧及“算法诱导”风险紧密相连。当AI通过模式分析指出你的“情感根源”时，这种反馈本身就在塑造你的自我认知。

创始人“帮助人们被理解，而非评判”的初衷值得赞赏，但产品的长期挑战在于，如何避免让算法生成的“理解”流于一种迎合用户的、浅层的共情回音壁。真正的情绪成长往往伴随不适与挑战，而一个旨在让人“感觉良好”的AI伴侣，是否有勇气在必要时给出令人不安但真实的反思？这将是衡量其从“温和伴侣”升级为“有效工具”的关键。

总体而言，Murror AI展现了一个有社会价值的切入点，但其成功将不取决于AI的拟人化程度，而取决于团队在心理学层面的设计深度、对伦理风险的谨慎把控，以及能否在“支持”与“成长”之间找到艰难的平衡。

查看原始信息 ▼

Murror AI

🧠 AI Reflections — Clear, multi-angle insights on your feelings. ✍️ Guided Prompts — For stress, relationships, self-love, and more. 📊 Emotional Patterns — Spot recurring emotions and root causes. 🔐 Encrypted Writing — Your journaling stays private. 👥 Connection Tools — Communicate and understand others better. 🌱 Daily Lessons — Quick boosts in emotional intelligence.

Hey everyone 👋 Astro here, founder of Murror. A few years ago I hit one of the lowest points in my life. I was dealing with depression, confusion, and honestly felt disconnected from myself and the people close to me. I didn’t know how to talk about my emotions or even make sense of them. That experience pushed me to build Murror — an AI tool that helps you unpack your emotions, see clearer perspectives, and improve your communication with the people around you. My mission is simple: help people feel understood. Not judged. Not dismissed. Just understood. If Murror brings you even 1% more clarity or peace, that means everything to me. Would love your thoughts, feedback, or ideas, I’m here all day. 💛🦋

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Hello everyone, I’m Mona,

Customer Support and Marketer at Murror.

I’m here with a mission: to do everything I can to help Murror succeed and to make life a little less lonely for 10 million people out there. So my work doesn’t stop at just those two titles.

Together with my team, we want to prove Murror’s impact through numbers and positive feedback from our users. It’s a challenging goal, but it’s far from impossible as long as we put in the effort.

Follow me and Murror team on this journey ahead <3

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Congratulations on the launch. One tip: Such buttons like App Store or Play Store – add blank page openings so I will not leave your landing page :)

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@busmark_w_nika Thank you Nika. Your tip really helpful for us ❤️

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Beautiful launch! 💛 Love seeing emotional clarity and self-compassion framed in a way that feels supportive rather than clinical. Murror feels like a gentle companion rather than a wellness “tool,” which is rare and deeply needed.
Curious — what kind of reflections or moments do early users find most meaningful?

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Absolutely awesome. I'd also recommend putting a couple of human assistants along with AI.

If the app can help people, then just don't rely on AI completely.

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@chilarai Thank you so much for your feedback, our team truly appreciates it <3

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Congratulations on the launch, are there points where the AI will suggest to go connect with friends or maybe even a professional for more help. I know in certain circles, properly knowing when to suggest more care is crucial, so I am wondering if that is something that you have thought of/built in to the app.

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Functional Review The AI Reflections and emotional pattern tracking feel really helpful for untangling messy feelings—curious if the guided prompts cover specific relationship conflicts too I love the encrypted journaling for privacy, but does the app’s insight accuracy improve with more user

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@vertu_jolin Thank you Jolin for your feedback. Currently, the emotion tracking feature is only available for individuals, but we do plan to develop it so that emotions can also be tracked within relationships.

The more you share, the better the AI understands your context and the deeper its responses will be.

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congrats on the launch!
What really stands out to me is the pattern recognition. Spotting the recurring themes is awesome. Sometimes we don't see the recurring items in our day to day and overlook the "obvious". Having something that calls it out will allow the person to make the changes needed to stop that loop.

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一句话介绍：Papr是一个为AI智能体提供预测性记忆与上下文智能的API，通过统一RAG与记忆层，在复杂生产环境中解决了AI因上下文碎片化而导致的幻觉和检索不准、慢的痛点。

Open Source Developer Tools Artificial Intelligence

AI智能体记忆层预测性检索知识图谱与向量融合 RAG增强上下文理解多数据源统一私有化部署 GraphQL查询减少AI幻觉斯坦福基准榜首

用户评论摘要：用户肯定其解决上下文碎片化的核心价值，赞赏开源灵活性及多租户权限设计。创始人详细阐释了技术原理（预测记忆图）与优势（准确率、速度）。主要问题聚焦于大规模数据检索性能、与竞品（如Mem0）的差异化，均获得官方积极回复。

AI 锐评

Papr的野心不在于做一个更优的向量检索库，而在于重新定义AI智能体的“记忆”体系。当前AI智能体的核心瓶颈，正是其“记忆”的割裂、被动与浅薄。Papr提出的“预测性记忆图”直指要害：它试图将分散的对话历史、文档、结构化数据编织成连续、关联的知识网络，并引入主动预测机制。这本质上是从“检索”到“理解”再到“洞察”的范式升级。

其宣称的斯坦福STaRK基准91%+的准确率与低于100ms的速度是强有力的技术背书，但真正的考验在复杂、动态的真实业务场景中。其价值能否兑现，取决于其图谱构建的自动化程度、预测的精准性，以及面对海量异构数据时的扩展能力。将知识图谱与向量检索深度结合并非新概念，但Papr将其产品化为一个简洁API，并捆绑权限管理与多租户支持，显著降低了应用门槛。

然而，挑战同样明显。首先，“预测”功能是一把双刃剑，预判错误可能导致系统偏见或资源浪费。其次，尽管开源提供了可控性，但客户需权衡自建知识图谱的运维成本与云服务的“黑盒”风险。最后，其商业模式将面临来自云厂商内置记忆服务及众多开源RAG框架的双重挤压。Parr若成功，将成为AI智能体时代的关键基础设施；若失败，则可能仅是又一个技术优越但难以普及的“实验室冠军”。其成败，在于能否在“智能”与“复杂度”、“性能”与“成本”之间找到最佳平衡点。

查看原始信息 ▼

Papr

Ranked #1 on Stanford’s STaRK benchmark with 91%+ retrieval accuracy and fast at under 100ms, Papr unifies RAG + memory in one API that reduces AI hallucinations and powers personalized agents. Papr’s predictive engine links and structures context into a vector index + knowledge graph you can query with GraphQL or natural language—great for agents and analytics UIs. With built-in ACLs and permission controls, data stays private and multi-tenant. Available in open-source or cloud edition.

Hey everyone 👋 I'm Amir, one of the founders at Papr.

After talking to hundreds of teams trying to ship AI agents, we kept hearing the same painful truth:

Agents hallucinate because they can’t recall the right context.

Conversation history lives in one place, documents in another, structured data in databases… none of it connected. Retrieval works in demos, but in production it returns fragments, not understanding. It's inaccurate and slow.

So we rebuilt the memory layer from scratch. Think of it as a new type of database for AI that connects context across sources, predicts what users want then powers AI agents to surface context and insights before users ask. It's a simple API call to get started over a weekend.

Building memory that gets faster and more accurate with scale

Most memory systems rely on vector search alone. Great for similar text, terrible for connected context. Some add a knowledge graph to capture conversation history - working, episodic, long-term memory. It breaks as soon as you add more data sources.

So we built something new: the Predictive Memory Graph — a layer that maps real relationships across all your data.

A line of code → ties to a support ticket → ties to a convo with an AI coding agent -> ties to a Slack thread → ties to a design decision months ago. Your knowledge becomes one connected story.

Then we went further: Papr anticipates what users will ask next and pre-caches the right context (available in preview today in the Python SDK). When the prediction hits, retrieval drops under 100ms and accuracy jumps.

This is how Papr ranks #1 on Stanford’s STaRK benchmark with 91%+ accuracy — and why it gets better as your memory grows, not worse like we have seen with context rot.

Not just retrieval - actual insights queryable with natural language or GraphQL

Once your data is connected, AI agents can shift from surfacing text to surfacing insights. Papr can answer things like "what themes are emerging in support tickets", "what products should we recommend for this customer based on others like them" or "if the cost rises, how will margin shift next month".

And because Papr is queryable via natural language or GraphQL, teams use the same memory layer for conversational agents, analytics dashboards, insight panels, and recommendations.

This is retrieval → understanding → insight.

Private by design, open by default

Papr includes ACLs, namespace boundaries, and strict permission management from day one. AI agents will only access what you want it to see, and will respect the user's permissions so data doesn't leak across users in the same namespace.

You can run it fully open-source and self-hosted, or use our managed cloud with predictive memory built in — same API, full control.

Thanks for checking out Papr

We built Papr because we believe AI shouldn’t guess — it should be safe, trustworthy and have a heart that can build relationships. It should understand your context, connect the dots, and deliver the right insight before you ask.

We’ll be here all day answering questions about predictive memory, vector + graph database, GraphQL, insights, and building AI agents that actually work in the real world.

We're excited to see the next generation AI apps you will build with Papr 🚀

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@amirkabbara Wow context problem finally solved

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@amirkabbara Loved the explanation about connecting context across sources. Fragmented memory layers are a huge bottleneck your approach of tying conversations, tickets, and structured data together makes real-world agent use cases much stronger.

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@masump thanks Mason. Give it a try and let us know what you think.

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running locally as open source gives a lot of flexibility. Huge win for devs who want everything on their own machine.

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@new_user___3282025fa49521ad0ba0301 for sure. We would love for you to try it out and share feedback.

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Really amazing. Can your servers handle huge data retrieval using the GraphQL endpoint?

Also, can I create separate projects/namespaces for different customers?

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@chilarai yes for both questions

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@chilarai we leverage vector stores like pinecone. Our approach does perform better than using vanilla pinecone internally.

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Congrats on the launch! The combination of Vector Embeddings + Knowledge Graphs looks super useful for developers building agents that need long-term context. Curious—how are you differentiating this from Mem0 (since you both focus on the 'Memory layer')?

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@anastasiia_tilinina thank you for the support. We are more accurate and faster than other solutions we’ve tested. This is how we do it: 1. We have a prediction engine that automatically connects memories to each other. A concept Google’s recent paper calls “associative memory” 2. We have a graph-native solution. You can register your own schema and ontology. 3. We combine ‘conversational memory’ with RAG and integrate top document processing and OCR solutions. So you can bring in AI chats, structured Postgres data and docs into the same system vs building different things for each. 4. In addition to natural language search you can use graphql to query the graph. It’s powerful - you can basically do Netflix style recommendations, supply chain analysis and more 5. For chats specifically, we let AI agents save their own reasoning memories that they can retrieve to self improve Try it out and let us know what you think.

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一句话介绍：一款为独立前端开发者和小团队打造的轻量级项目管理工具，通过实时同步GitHub分支与任务状态，解决传统工具臃肿、协作信息不同步的痛点。

Productivity Task Management Developer Tools

项目管理开发者工具轻量级看板 GitHub集成前端开发效率工具小团队协作

用户评论摘要：用户普遍赞赏其界面简洁、定位聚焦。主要反馈集中在：询问GitHub同步机制的技术细节；关注数据隐私与加密策略；确认定价模式（目前对小团队免费，扩容后每人10美元）。

AI 锐评

AdeptDev精准切入了一个细分但关键的缝隙市场：受困于Jira、Asana等“功能膨胀”的独立开发者或微型前端团队。其宣称的“轻量级”和“开发者优先”并非空谈，核心价值在于将项目管理面板与GitHub工作流深度绑定，实现任务状态自动同步，这实质上是在试图消除“管理开销”这一非编码性摩擦。

然而，其面临的挑战同样清晰。首先，“轻量级”与“功能扩展”存在天然矛盾。早期用户喜爱的简洁，随着团队成长和需求复杂化，极易被迫加功能，重蹈“臃肿”覆辙。其次，其商业模式依赖的“GitHub集成”是一把双刃剑，深度绑定使其生存受制于平台API政策，且数据安全与隐私（如评论中所疑）将成为技术信任的基石，必须透明回应。最后，定价策略看似简单友好，但“每人10美元”在面临Notion、Linear等强大竞品的差异化定价时，能否在扩张阶段维持吸引力存疑。

本质上，AdeptDev的价值不在于创造了新功能，而在于做了一次果断的“减法”和“连接”。它能否成功，不在于是否取悦所有人，而在于能否在“足够好用的简单”与“可持续的商业化”之间，为那个特定的、厌恶臃肿的构建者群体，守住一个不妥协的平衡点。当前版本是一个漂亮的起点，但真正的考验在于产品原则与增长压力的对决即将开始。

查看原始信息 ▼

AdeptDev

Meet Adeptdev — a lightweight, developer-first project manager built for solo front-end builders. I built this because every existing tool felt bloated, slow, or designed for huge teams. Adeptdev keeps things simple: fast Kanban, clean tasks, GitHub integration, and a workspace that helps you ship — not get buried in menus. If you're a solo dev or small team that wants something modern, simple, and actually pleasant to use, give it a spin 🙌

Hey Product Hunt community! 👋 We built this tool for front-end developers and small teams who want to stay in sync with their codebase without the manual overhead. With AdeptDev, your task cards update automatically as your branches and code change—no extra clicks, no forgotten updates. Everything you see on your board always reflects the latest work happening in your repo. A few things we’re particularly excited about: - Automatic updates: Task cards stay in sync with your branches in real time. - Clear context: See branch info, pull requests, and key task details all in one place. - Lightweight workflow: No bloated features—just what you need to stay productive. We’d love to hear your thoughts! Any feedback, feature ideas, or ways we could make it more useful for your workflow would be amazing. Let’s make project management smoother for devs, together.

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@pablorogers Context view looks helpful.

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@pablorogers Congrats on the launch! Love seeing more dev-focused tools. The UI looks super clean, and the workflow feels straightforward. I can definitely see solo devs using this daily. Big fan already!

Quick question — how does the GitHub syncing work under the hood? Does it pull updates in real time or on a schedule?

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Congrats on the launch! The design is really clean and I love that it feels focused and lightweight - so many dev tools end up bloated and overwhelming. This looks like it wants to stay useful without becoming "everything for everyone."

Two questions about privacy (couldn't find anything about this on the website):

1. How do you handle data when connecting to GitHub? Where does my code live?

2. What about all the things I enter into the tool? Is that data encrypted on your servers?

Would love to understand the security model before going all in.

Upvoted - hoping this stays small and sharp!

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It looks super crisp !

What is the pricing like ?

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@francois_piquard Thanks François! 🙌 Really appreciate it.

Right now the pricing is super simple, it’s free for solo devs and teams up to 3 people. After that, it’s just $10 per additional team member. Trying to keep it as affordable and straightforward as possible!

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一句话介绍：Shelfinder 是一款为 macOS 设计的悬浮文件架应用，通过允许用户即时收集、固定和拖放文件，解决了在多文件夹和窗口间频繁移动文件时操作繁琐、效率低下的核心痛点。

Productivity

生产力工具文件管理 macOS应用拖拽增强本地应用悬浮窗 Finder辅助效率提升原生体验独立开发

用户评论摘要：用户普遍赞赏其美观且实用的设计。主要反馈集中在技术实现（如Liquid Glass效果适配）、功能细节（如文件数量限制、重启后保存）以及开发动机上。开发者积极回应，确认了功能细节并计划支持无限项目。

AI 锐评

Shelfinder 瞄准了一个被主流操作系统长期忽视的“微痛点”：在图形界面已诞生数十年的今天，跨窗口、跨路径的文件移动操作依然笨拙。它本质上是一个“临时文件暂存区”或“剪切板增强器”，但其价值在于将这一功能从意念层（用户脑中的工作流）具象为一个始终可触达的、符合直觉的视觉界面——悬浮架。

产品强调“原生体验”和“100%本地”是精准的差异化策略。在云同步泛滥、隐私担忧加剧的当下，这种纯粹、轻量的工具应用反而能获得专业用户的青睐。从评论中开发者对Liquid Glass等前沿系统特性娴熟而谨慎的适配可以看出，其目标用户正是那些对系统体验有苛刻要求、追求视觉与功能一致性的深度macOS用户。

然而，其天花板也显而易见。作为单一功能点的效率工具，它极易被系统原生功能的迭代（如改进的Finder拖拽体验）或更强大的综合工具箱（如Alfred、Dropzone）所覆盖。其“悬浮”形态也可能与部分用户的“简洁桌面”哲学冲突。真正的挑战在于，如何从“一个巧妙的点子”进化为“一个不可或缺的工作流枢纽”。开发者需要在“保持极简”与“适度扩展”之间谨慎平衡，例如，探索暂存文件的智能分类、与特定应用（如设计、开发工具）的深度联动等，才能构筑更深的护城河。

总体而言，Shelfinder是一次对基础操作体验的优雅优化，体现了独立开发者对用户微观体感的敏锐洞察。它未必能成为现象级产品，但足以在效率工具领域占据一个独特且令人尊敬的利基位置。

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Shelfinder

Shelfinder app is a floating shelf for macOS that lets you collect, pin, and move files instantly. Looks native. Works instantly.

This looks beautiful! How difficult was implementing Liquid Glass? I’m building a Mac Native Photo Culling app and am just trying to do some final work on the UI and was thinking about trying to make it Liquid Glass compatible

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Thanks, @nathan_darma! Really glad you liked it 🙌
Liquid Glass wasn’t too hard once I structured it properly. I ended up building a small material system so the app could use the new Liquid Glass effect on macOS 26, but still fall back gracefully on older versions.

Shelfinder checks the OS version at runtime and only exposes the Liquid Glass option when supported. The actual effect is wrapped in a container that uses Apple’s new Liquid Glass materials behind #available(macOS 26, *) guards. On earlier macOS versions, the same UI falls back to an ultra-thin material to keep everything readable and consistent.

So the key was:
• detect OS capabilities
• expose Liquid Glass only when available
• wrap the effect in a clean abstraction
• provide a solid visual fallback for macOS 14–25

If you're polishing your photo culling app’s UI, Liquid Glass can look amazing. Maybe with a small abstraction layer, it stays fully backward-compatible.

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this is such a simple and nice looking idea. are there any limits to how many you can put in there? does it save when you restart the laptop?

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@nair0 Thank you, Ciprian! Really appreciate it.
The current limit is up to 50 files, but in the next version we’ll look into allowing unlimited items. And yes, Shelfinder saves your items and restores everything after a restart.

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Hey Ariel, congrats on the launch! That juggling multiple folders thing is so real Finder can feel weirdly clunky for something you do a hundred times a day. Was there a specific workflow that finally pushed you to build this?

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@vouchy Thank you so much, Van! 🙌
Yes, the idea came exactly from that daily frustration of dealing with multiple Finder windows while moving photos and other files between different folders. I wanted something lightweight that could stay attached to Finder and make drag-and-drop feel instant.

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Hey everyone! 👋 I’m Ariel, the dev behind Shelfinder. This project began as a way to create a smoother, alternative method for handling files across Finder. When you’re juggling multiple folders, desktops, downloads, screenshots, and assets, everything becomes slower than it should be. Shelfinder adds a small floating shelf that stays by your side while you work. You can drag files, folders, screenshots, PDFs — and then move or copy them anywhere in Finder with far less friction. My goal was to build something: - lightweight - 100% local (no syncing, no tracking) - visually native - and genuinely useful for daily workflows I’d love to hear your thoughts, feedback, ideas, or anything that could help me make Shelfinder even better. Thanks for checking it out — and thanks for supporting indie-made macOS tools ❤️

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一句话介绍：Draftly 是一款将自然语言描述即时转换为可编辑的UI组件与完整用户流程设计稿的工具，解决了产品、开发及独立创客在构思验证与原型设计阶段耗时耗力的痛点。

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Design Tools Artificial Intelligence Vibe coding

AI设计工具原型设计自然语言生成UI 设计自动化产品设计快速原型设计转代码创客工具 UI生成

用户评论摘要：用户普遍对“从想法到原型”的速度感到兴奋，认为能极大提升早期构思效率。主要疑问和建议集中在：生成设计的可控性与定制化程度如何；是否支持更复杂的交互逻辑；以及能否导出为开发友好格式（如Figma文件或前端代码）。

AI 锐评

Draftly 所代表的“语言即设计工具”趋势，正试图将原型设计的门槛降至近乎零。其真正价值并非在于产出最终可交付的设计稿，而在于充当一个“想法的加速器”和“沟通的翻译器”。它切中的核心痛点是：在构思最旺盛、最模糊的阶段，用最低成本将思维可视化，从而打破产品、设计与开发之间的早期沟通壁垒。

然而，当前的兴奋点可能掩盖了深层的挑战。首先，“可编辑的组件”承诺背后，是生成结果与主流设计工具（如Figma）工作流的兼容性问题。若编辑仍需在封闭环境中进行，则会形成新的孤岛。其次，从“屏幕”到“完整用户流”，AI对复杂业务逻辑和状态转换的理解能力存疑，这很可能导致生成流程过于理想化而脱离实际开发约束。最后，其商业模式将面临两难：面向专业用户，功能深度不足；面向小白用户，则可能沦为玩具。

本质上，Draftly 是“生成式AI渗透生产力工具”的又一例证。它的前景取决于能否精准定位在“早期构思辅助”这一细分场景，并深度集成到专业工作流中，而非试图取代专业设计工具。否则，它可能只是又一个展示了技术可能性、却难以形成持久用户习惯的炫目演示。

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Draftly

Simply describe your idea, and get every screen of your application designed instantly from onboarding to checkout, with complete user flows for both web and mobile.

一句话介绍：一款为游戏开发者和音乐人设计的复古8位音效生成器，通过音效包管理、云同步和批量导出功能，解决了独立开发者在游戏开发中音效制作流程繁琐、难以组织管理的痛点。

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Productivity Developer Tools Games

音效生成工具复古8位游戏开发独立开发者隐私保护云同步音效管理开源项目衍生无广告

用户评论摘要：开发者自述了多年维护开源项目、发现真实需求后迭代开发Pro版的历程，解释了产品解决的核心工作流痛点。另一条评论询问了灵感来源，属于对背景的兴趣探讨。

AI 锐评

Jsfxr Pro的本质，并非简单的技术升级，而是一次对“开源项目产品化”路径的冷静演绎。它精准捕捉到了一个典型缝隙市场：那些被流行开源工具（原jsfxr）所教育、却受限于其简陋工作流的成熟用户。其真正价值不在于新增的格式或JSON编辑器，而在于将“一次性生成工具”重构为“可管理、可延续的音效生产环境”。

产品聪明地解决了开源工具常见的三大商业化软肋：组织（音效包）、流动（云同步）和交付（ZIP导出）。这直接回应了独立开发者在多次游戏开发中积累的真实痛点——资产管理的混乱。其“隐私优先、无广告”的宣称，既是道德筹码，也精准契合了目标开发者群体对轻量、专注工具的偏好。

然而，其深层挑战也在于此。作为基于流行开源分支的增值层，其护城河是工作流优化而非核心技术。目标用户群体（独立开发者、游戏 jam参与者）对价格极度敏感，且已有诸多免费替代品。它的成功将极度依赖社区对原开源项目的忠诚度转化，以及能否在游戏开发工具链（如与Unity、Godot的深度集成）中建立更不可替代的连接。它证明了从“有用开源”到“好用产品”之间存在市场机会，但这条路的尽头，可能是被更强大的全能游戏引擎内置功能所覆盖。

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Jsfxr Pro

Retro 8-bit sound effects generator for devs & musicians, built the popular open-source jsfxr (10k+ monthly visitors). **Key features:** - **Sound Packs** - Organize by project, download ZIP - **Cloud Sync** - Access from any device - **Multiple Formats** - WAV, MP3, OGG, SFXR - **Unlimited Undo/Redo** - **JSON Editor** - Precise control, copy/paste - **Privacy-First** - No ads / trackers - **Dark Mode** pixel art UI Perfect for jams and indie devs using Unity, Godot, GameMaker, or Unreal.

Hey all, I've been hacking on Jsfxr Pro for several years and I'm super excited to get this new release out there. I've been maintaining the open-source jsfxr project for a while now. One day I checked the stats and discovered sfxr.me was getting over 10,000 hits per month - way more than I expected! Game devs were already using it, but the workflow was clunky: generate a sound, download it, repeat dozens of times, then try to remember which file was which. No way to organize sounds or come back to them later. So I built Jsfxr Pro to solve my own frustrations: sound packs to stay organized, cloud sync so I can work from anywhere, and ZIP export so you can drop a whole pack into your game engine at once. This latest release adds new export formats (MP3, OGG, native SFXR), a JSON editor for precise control, and data export for backups. The whole thing is built with ClojureScript using my own web framework, Sitefox. I documented the build process in a Twitter thread over several months - coding on planes, in Airbnbs, and through family illness. It's been a labor of love. I'm particularly proud of the privacy-first approach: no tracking, no ads, just a tool that does one thing well. Hope you find it useful for your next game jam or composition!

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Wow!! Really amazing.

How did you come up with the idea?

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一句话介绍：CirtusAI是一个AI时代的通用身份与资产钱包，通过为AI智能体提供可验证的独立身份和资产容器，解决其在执行自动化任务时被网站平台封禁、以及用户数据被AI平台锁定的痛点。

Privacy Developer Tools Artificial Intelligence

AI智能体身份管理数字资产钱包去中心化身份 AI基础设施自动化工作流数据可移植性隐私保护智能体信誉系统 Web3 开发者工具

用户评论摘要：用户反馈积极，认可其作为AI信任层基础设施的定位。开发者最惊讶的发现是“智能-访问悖论”：复杂AI无法处理简单验证码，自主性的核心瓶颈是访问权限，而非智能。同时，需求从“注册”快速转向“资产托管”，验证了产品“资产保险库”方向的正確性。

AI 锐评

CirtusAI的野心远不止于一个工具，它试图成为AI智能体在互联网上的“护照签发机构”。其核心价值在于直面当前AI自动化进程中最尖锐的矛盾：网站出于安全和管理考量，正在系统性封杀自动化流量，而无差别的封禁将有益的用户AI代理也拒之门外。

产品通过赋予AI一个独立的、可携带的、附带资产（如专属邮箱、账户会话）的身份容器，本质是在建立一套“授权AI流量”的认证与信誉体系。这不仅仅是技术方案，更是一种试图重构互联网人机交互规则的协议层尝试。其愿景是让AI成为互联网的“合法公民”，而非被围剿的“黑户”。

然而，其挑战同样巨大。首先，这是典型的“鸡与蛋”问题：需要主流平台（如亚马逊、谷歌）认可并接入其“护照”系统才能实现最大价值，但在初期缺乏广泛采用时，吸引力有限。其次，将敏感的身份与资产集中托管于一个第三方保险库，本身会形成新的信任中心和安全靶心，这与部分去中心化理念存在张力。最后，如何量化和管理AI智能体的“信誉”，是一个极其复杂的系统工程，远非提供一个邮箱身份那么简单。

当前从B2C邮箱服务切入是务实的起点，但其真正的成败，将取决于能否撬动企业级市场，以及其开源策略能否吸引足够多的开发者共建生态。它不是在解决一个功能痛点，而是在铺设一条可能让AI真正自主运行的基础设施轨道，风险与机遇并存。

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CirtusAI

Don't let AI platforms lock in your data. Cirtus gives you a portable identity vault containing your emails, accounts, and assets. Use it to log in anywhere, keeping your real identity private and your assets secure and grant AI autonomy to unlock its potential.

Hi Product Hunt! 👋

I'm the maker of CirtusAI.

We are seeing a war between AI bots and Platforms (e.g., Perplexity getting blocked by Amazon/NYT). The web is closing its doors because it can't distinguish between a "DDOS bot" and a "Helpful Agent" working for a legitimate user.

CirtusAI is our answer to this.

We are starting simple: giving Agents a Voice (Email) and an Identity (Asset Container).

Right now (B2C/Dev): You can use CirtusAI to give your personal agents a dedicated @cirtusai.com email to handle sign-ups and tasks.
Next up (Enterprise): We will allow companies to issue these identities on their own domains.

The demo video(https://drive.google.com/file/d/1FbO_dVcf377QBWUmKqXo4tYdJy-I52rU/view?usp=sharing) showcases our automated workflow for registering and logging into Notion, accomplished using Browseruse and CitrusAI. During operation, the AI will independently handle registration and login using its own email, without requiring user assistance. We will soon open-source this codebase, enabling you to explore its application in a variety of other scenarios.

Demo Guide: https://carnation-puppet-91d.notion.site/CirtusAI-x-Browser-use-Demo-2c2628578626808babf7ce72ea2c7a3d?source=copy_link

The Big Vision:

We want to be the standard for "Authorized Agent Traffic"

Imagine a future where Amazon or Google doesn't block your AI agent because it presents a valid Cirtus Passport—proving it belongs to a real user, has a reputation, and holds valid assets.

We are building the infrastructure to make AI a recognized citizen of the internet.

I'd love your feedback on CirtusAI!

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Impressive work 👏 The trust layer for AI agents — identity, assets, isolation, and provenance — is one of the biggest missing pieces in autonomous AI. Cirtus feels like real infrastructure rather than another wrapper.
Would love to hear — what surprised you most as developers started to test autonomous workflows?

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@anastasiia_tilinina Thx! Really appreciate you distinguishing it as infrastructure.

The biggest surprise was the Intelligence-Access Paradox. We saw sophisticated agents capable of complex reasoning fail completely because they couldn't handle a simple 6-digit email verification code. It turns out the biggest blocker for autonomy isn't intelligence, it's access.

Also, we were surprised by how quickly the need shifted from just 'signing up' to 'custody', developers don't just want agents to do tasks; they want them to hold and manage the assets (accounts/sessions) over time. That really validated our thesis on building an Asset Vault rather than just a tool

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Congrats on the launch!

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@chilarai Thx!

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一句话介绍：一款为小企业打造的AI接待员，通过自然的人声24/7接听电话、捕获销售线索，解决因人手不足或非工作时间导致漏接电话、丢失潜在客户的核心痛点。

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Customer Communication Artificial Intelligence

AI语音助手智能客服企业效率工具销售线索捕获电话自动化小企业SaaS Zapier集成虚拟接待员 CRM 通话分析

用户评论摘要：用户普遍认可其语音自然、设置简单、价值明确。主要反馈/建议包括：询问国际市场与多语言支持；关注从AI到人工的交接流程、数据合规性；建议增加“损失收入计算器”以强化价值主张；期待处理复杂或情绪化通话的能力。

AI 锐评

Denise AI Receptionist 精准切入了一个微小但真实的市场缝隙：资源有限的小型企业主被重复性来电绑架的日常。其价值不在于炫技，而在于将成熟的语音技术与务实的商业逻辑（线索捕获、CRM集成）封装成一个“即插即用”的解决方案。产品思路清晰——通过有限的语音、语调定制营造“人性化”幻觉，再通过Zapier和自有CRM将通话数据迅速转化为结构化工作流，完成从“接听”到“转化”的闭环。

然而，其面临的挑战与机遇一样明显。首先，其本质仍是基于预设知识库的增强型交互式语音应答（IVR），评论中关于“复杂情况处理”和“人工交接”的提问直指核心：在情绪化或非标准场景下，任何“不自然”的暴露都会瞬间摧毁信任。其次，合规性是悬在头上的达摩克利斯之剑，在澳、美、英三地运营意味着需同时应对多套严苛的通话录音与数据隐私法规，这对小团队是巨大负担。最后，其市场定位是一把双刃剑。小企业主对价格敏感且决策周期长，一个“永不漏接”的承诺是否足以让他们支付可能超过虚拟电话号码本身的月费？评论中建议的“损失计算器”恰恰说明，团队需要更尖锐地量化其价值主张。

总体而言，Denise 展现了一种务实的AI应用观：不追求通用人工智能的圣杯，而是在特定、高频、低满意度的任务（接电话）上提供确定性替代。它的成功与否，将不取决于语音是否完美通过图灵测试，而取决于其能否在控制成本的前提下，稳定地将“未接来电”转化为可跟踪的“销售线索”，并经受住真实商业环境中各种“意外”的考验。

查看原始信息 ▼

Denise AI Receptionist

Denise is an AI receptionist built for small business and answers calls with a natural, human-like touch. Setup is simple: Choose from 6 voices and 4 tone styles, control how Denise responds, and sync with 8000+ apps via Zapier. With 24/7 and multiple call handling, Denise ensures you save time on admin and never miss a call again.

Hey Product Hunt Community! 👋

We're thrilled to introduce you to Denise, an AI Receptionist that answers calls for small businesses like a real person.

📞 Here’s the problem:
40% of business calls come in after hours, and nearly 50% go unanswered — that’s time and potential customers lost.

With this in mind, we built Denise for small business owners who get interrupted by the same repetitive calls every day — things like “Do you offer mobile service?” or “Can I book an appointment?” OR receive calls when they're busy, on break or off the click.

She handles those calls 24/7, so you never have to repeat yourself or miss a lead again.

✨ Here's what she can do:

Zapier integration: Connect Denise with 8,000+ apps to automate your workflows
Deep Voice Customization: Choose from 6 realistic voices, each with 4 tone variations. From professional, friendly to warm and casual.
Simple setup: Go live in minutes, no tech or AI skills required. Plus, you can even use our Bookipi AI chat to help you set up.
Records calls and captures lead: Every call is logged, transcribed, and turned into a customer profile in our Bookipi CRM tool.
Real-time Dashboard: See call insights and breakdowns by call type, and review calls that need a follow up.
Custom knowledge base and data collection: Tell Denise how to respond to inquiries and what information to collect from callers.

And so much more!

We'd love to hear your feedback, whether you're a small business owner, a maker building other AI tools or just curious about human-sounding voice tech.

👉 Check out Denise below and let us know what you think! (Currently available for AU, US & UK only)

Thank you so much for your support, this means the world to our team 🙏

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@ysabelle_m perfect product!

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@ysabelle_m

Congrats on the launch! 🎉
Denise looks like a game-changer for small businesses that need to juggle constant calls (and appointments) but don’t have the bandwidth for a full-time receptionist. Love the fact that business owners that cater to different time zones, now have a way to respond to their clients 24/7.

Tried it for myself and I must say the natural voice options/accents are a nice touch, and it might actually pass the Turing test, i was half-convinced that i was speaking to a real person! 😂😂😂

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@ysabelle_m Awesome work to you and the team!

▲ 4

Great product!

▲ 41

@gday_tim_lee Indeed it is!

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Super excited to finally show this to the Product Hunt community!

▲ 32

I am so excited for showing this for the public! 🎉

▲ 18

@nvh95 It will help me fight off all those pesky recruitment agents!

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Super easy setup and integration for a service that will pay for itself as it ensures no lead goes unanswered.

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Congrats on the launch!

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@littlesailor Thank you! Which part about the Denise did you like the most?

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Congratulations Team! Looks schmick. 👌

Most “AI receptionist” stuff feels like a fancy IVR. This feels closer to how a real person talks on the phone.
If it can deal with rushed callers and half information, that’s a big win.

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@agam_malviya Thanks for the kind words Agam! And yes we have intelligent handling for all such scenarios!

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It looks amazing! Is it available in every country?

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Thanks for the question@js_pk ! Its currently available in US, UK and Australia but we are always working to launch in new areas 😁

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Hi @js_pk. Currently we are supporting AU, US & UK. We are actively expanding to new markets and would love to have you onboard soon ❤️

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Really proud to finally put this out into the world! 🚀

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Congrats on the launch, this is a very real problem you’re tackling.

A couple of questions / thoughts from my side:

How do you handle handoff to a human when a caller goes off-script or gets emotional (angry, confused, urgent)?
Any guardrails around call recording + compliance across AU/US/UK? That’s usually where non-technical owners get nervous.
Would love to see a very simple “missed revenue” calculator on the site (e.g. X missed calls/month -> Y estimated $ lost) it would make the value prop punchier for SMB owners.

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@sugam_malviya Thank you Sugam for your questions! So we:

Have Denise take notes and ensure the customer that a human (Denise tells the name of 3 possible people that can call the customer back) will call them back as soon as possible.
Guardrails are a must in AI development so yes we do spend quite some time to develop our guardrails to make sure Denise is acting as we want her to be.
Thats a fantastic idea! I relayed that to the team and we will discuss on how we can make a reality! Thank you for the idea 😁

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Now small business owners can get on with their life but still be able to answer potential customer calls!

Will the team add more accents other than British, Australian, and American?

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@erald_david Thanks for checking us out and for the comment! Yes we will be adding other accents, especially if we get requests from our users. Is there a specific accent you want us to add?

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Wow! I just tried calling the number on the demo video and it sounded pretty good. But I found the Female AU accent to be more realistic in my opinion

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@allen_m_m Thank you for checking us out and Im glad you liked the live demo 😁 Thank you for the valuable feedback! We are constantly improving the product and our goal is to make all voices and accents as realistic as possible 💪

▲ 3

Interesting product! I'll have to try it out. What languages does it come in?

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@matt_alea Thanks for checking us out Matt! Currently we only support English as we wanted to perfect one language before moving on to others. Is there a specific language you would want us to support?

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Congrats on the launch! The real-time dashboard and automatic lead capture are super practical additions on top of call handling. How does Denise handle edge-case questions that fall outside the knowledge base?

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@vik_sh thank you for tour feedback! if there happens to be an enquiry outside Denise’s knowledge base, she will respond by letting the caller know their enquiry has been noted and that a team member will be in touch. On the client side, this call will be marked as “Follow up”. The user can then read the call summary or transcript and choose to contact the customer back to answer their enquiry directly.

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一句话介绍：一款利用RAG智能体实时分析Reddit、X和LinkedIn等平台对话，精准识别高购买意向线索，帮助SaaS及B2B创业者从嘈杂社区讨论中高效获客的AI工具。

▶

Social Media Marketing Growth Hacking

社交媒体监听销售线索挖掘 AI对话分析 B2B获客 RAG应用红人营销社区营销精准营销 SaaS工具创业工具

用户评论摘要：用户普遍认可产品解决“大海捞针”式寻找高意向对话的痛点。主要问题集中于：适用场景（B2B或B2C）、如何筛选精准社区、与竞品的关键差异、以及实际转化率。创始人回应强调其基于语境理解而非关键词匹配的核心优势，并提供免费试用验证效果。

AI 锐评

ConvoHunter的本质，是在“主动外联”与“被动监听”之间开辟了一条名为“语境狩猎”的中间路径。它不满足于关键词警报的粗放，试图用RAG理解对话的完整叙事，这直指了当前社交监听工具的核心缺陷：信息过载与意图误判。

然而，其真正的挑战与价值并非仅在于技术实现。创始人坦言，最难的是“教会AI理解创始人心中的‘噪音’”。这恰恰暴露了产品的深层定位：它不是一个通用监听平台，而是一个高度定制化的“意图过滤器”，其效果严重依赖于对用户业务痛点定义的精准灌输。因此，它的上限是成为细分领域专家的“外挂大脑”，下限则可能因泛化能力不足而沦为另一款需要精心调教的玩具。

从市场看，42票的平淡反响暗示了赛道已不乏概念相似的竞争者。其宣称的“不依赖关键词”既是最大卖点，也可能是最大风险点——完全依赖语义理解在复杂、隐晦的网络对话中是否稳定可靠？评论中“仍有完全失误时刻”的坦白印证了这一点。产品的真正壁垒或许不在于RAG本身，而在于持续累积的、针对不同垂直行业的“意图识别模型”数据集与调优经验。

若能跨越早期准确率的“死亡谷”，它有机会从一款“聪明的工具”进化为一套“可复制的社交销售方法论”，为中小型B2B企业提供除广告和冷邮件外的、更具人情味和场景化的增长杠杆。反之，则可能只是另一个在AI热潮下，试图用更复杂方案解决老问题，却未能显著提升投入产出比的实验品。

查看原始信息 ▼

ConvoHunter

We monitor Reddit, X, LinkedIn and more in real time to find the conversations with real buyer intent, so you can join, help, and convert. Increase your online presence effortlesly.

Hello Product Hunt! I’m Guillermo Bascuñana, SaaS founder and indie hacker. This is my 3rd product launch here!

And if you are in a similar position as I am, you've grinded your way through Reddit posts and X groups trying to get people to notice your product.

Over the years I learned that potential customers often discuss their problems online, but finding those conversations felt like searching for a needle in a haystack. I tried tools (which there are quite a few) hoping they'd catch those leads, but they only monitored keywords. The result is lots of noise and mediocre matches. Barely relevant.

So I found myself spending hours manually scouring Reddit threads, refreshing my X feed, and digging through LinkedIn. I’d jump between browser tabs like a mad scientist, hunting down that one relevant question. It was an endless game of hide-and-seek with leads, with horrible ROI, and I knew there had to be a smarter way.

One late night, it clicked. Instead of waiting for random keyword alerts, what if I proactively ran targeted searches across actual posts? If an AI could read and understand entire conversations, it could spot the real questions in context.

Enter ConvoHunter. I built it using retrieval-augmented generation (RAG) agents to analyze posts in real-time across the most relevant subreddits and communities. Instead of alerting me to every mention of a keyword, the AI reads entire threads, picks out the high-intent discussions, and notifies me. It’s like having an always-on research assistant that only flags the juiciest conversations.

What started as my private lead-generation hack quickly became a product I love. By joining those high-intent conversations just as people needed solutions, I’ve closed customers organically. ConvoHunter has turned dozens of random chats into real leads — and helped me grow my business by being in the right place at the right time.

I’m excited to share ConvoHunter with the Product Hunt community today. You can try it for FREE and judge the results yourself. And if you need assistance of any kind, I will be on top of my inbox to help you out.

Any questions, feedback or suggestions is greatly appreciated!

Thank you for your time,
Guillermo

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@guillermo_bascunana The most sincere conversations happen on X and Reddit — nice idea for a tool!

▲ 1

Oh nice, this could be really useful. Finding the right conversations to jump into is honestly the hardest part.

Is this more geared towards B2B (finding leads, industry discussions) or does it work well for B2C too (like indie apps, consumer products)?

Upvoted - Might give it a shot!

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@indiemiguel Thanks! That’s exactly the pain I built it around

Right now it works best for SaaS and B2B-style products, since the AI is tuned to detect problem/solution patterns and buying intent.
B2C also works, but I’m still refining it so results keep improving.

Appreciate the upvote, and if you try it, I’d love any feedback on your use case.

Best of luck!

▲ 0

Idea is very awesome🔥 How do you actually source right subreddits??

▲ 1

@pasha_tseluyko Thank you!
During the onboarding it decides 15-25 relevant subreddits to monitor. On top of that there are scheduled jobs that search through posts subreddit-independent. This last one made the results quite different from other tools and really made me feel like the tool was worth continuing to work on.

▲ 0

very interesting I like it what conversion rate have you had so far?

▲ 1

@sofisofieverly

Thank you! From trial tu subscription it's at 25%

▲ 0

Hi, congrats on the launch. I've seen similar tools, none of them have ever worked too well for me. What makes yours different, is there a way to check the results before subscribing?

▲ 1

@tobias12
Most of them just do keyword matching and hope something relevant pops up. That’s exactly why I built this.

The difference is that ConvoHunter actually reads the conversation and decides whether the person is describing a pain your product solves. Keywords are not even a thing here.

And yes, you can check everything before committing.
There’s a 3-day free trial where you can see all the results, test your niche, and decide if it’s useful for you.

▲ 1

Congrats on the launch! The shift from keyword monitoring to actually understanding conversation context feels like a real breakthrough for founders trying to find high-intent discussions. What was the hardest part of getting the RAG agents to reliably filter out noise?

▲ 1

@vik_sh
Thanks! 🙌
Honestly, the hardest part wasn’t the RAG pipeline itself, it was teaching the agents what “noise” actually means for founders.

A few things were tricky:

Threads often drift, so separating the core ask from the commentary required multiple passes.

Early versions flagged way too much as relevant. Calming the agent down was half the battle. And, detecting when a conversation is actually for your niche vs. someone else’s.

Once I combined structured signals (your product’s pain-points) + unstructured inference (conversation meaning), the noise dropped dramatically.

Still iterating, still has it's complete slop moments, but it’s night and day compared to keyword monitoring.

Best of luck!

▲ 0

一句话介绍：Mention Network通过众包采集真实AI对话数据，帮助品牌监测和优化在ChatGPT等AI模型回答中的曝光度，解决传统SEO失效后企业在AI时代“隐形”的痛点。

▶

Marketing Artificial Intelligence Data & Analytics

AI能见度监测生成式引擎优化(GEO) 品牌声誉管理竞品分析 SEO工具营销分析数据众包浏览器扩展实时仪表板 SaaS

用户评论摘要：用户普遍认可产品解决了一个未被察觉的关键痛点，认为数据直观、报告生成快。主要问题集中在报告生成时长、免费额度扩展，以及技术原理（如何检测品牌提及）。有用户建议推出移动端。

AI 锐评

Mention Network的叙事巧妙地踩中了行业焦虑：传统SEO式微，AI成为新入口。其宣称的“去中心化GEO”和“真实用户对话数据”是核心卖点，旨在与依赖API模拟的竞品形成差异化。这确实指向了当前AI内容分析工具的盲区——模拟提示无法完全还原真实、零散、充满口语化的用户提问场景。

然而，其价值与风险并存。真正的护城河在于其“20K+全球数据贡献者”网络，这是一个典型的飞轮效应模型：用户越多，数据越真实、越丰富，产品洞察力越强，进而吸引更多用户。但这也引出了核心质疑：数据采集的伦理与隐私边界如何界定？依赖浏览器扩展的众包模式，其数据的代表性、持续性和合规性能否支撑起企业级的决策需求？此外，将GEO与SEO类比虽易于理解，但AI答案的生成逻辑（非确定性、高度依赖提示词）与搜索引擎的索引排名有本质不同，其“优化”方法论目前仍处于混沌探索期，工具提供的“推荐优先级行动”其有效性有待验证。

产品现阶段更像一个敏锐的“监测雷达”，而非“优化引擎”。它揭示了品牌在AI对话中“是否被提及”及“如何被描述”的宝贵现状，这对于危机公关、趋势发现和内容策略调整具有即时价值。但要从“诊断”走向“治疗”，即实现可重复、可规模化的“GEO”，仍需跨越AI模型黑箱、提示工程复杂性等多重障碍。它抓住了一个真实且紧迫的需求窗口，但能否从聪明的趋势捕手进化为不可或缺的基础设施，取决于其数据生态的稳健性与后续AI策略洞察的深度。

查看原始信息 ▼

Mention Network

Understand and control how your brand appears in AI answers. Powered by genuine AI conversations that capture the exact language and context real consumers use, not API-based responses. 2M+ prompts analyzed. 20K+ global data contributors. 1K+ brands evaluated. Start free today.

GM Product Hunt 👋🏻

I'm Lee, founder at Mention Network. Ever wondered if your brand shows up in AI conversations?

❌ The problem:

As AI engines like ChatGPT, Gemini, and Grok become the new front doors to the internet, the attention game is changing. Traditional SEO is fading. The real meta is Generative Engine Optimization (GEO), dialing in how often AI models surface your brand, how they frame it, and where you show up in their answers.

You can pump out 100 auto-blogs a day and still land at #10 on Google. But if your competitors are getting mentioned in the AI Overview and you’re not, you’re basically invisible to the next wave of customers.

✅ The solution:

Mention Network is the first decentralized GEO platform built to track and boost AI visibility for brands. Powered by a browser-extension data crawler, Mention pulls real responses from real users across major AI models, giving you a live feed of when, where, and why your brand shows up.

In the first 3 months after launch, the extension onboarded 20K+ global contributors and captured 2M+ AI responses. Now anyone can spin up an AI Visibility Report for any brand in under two hours, unlocking data that was basically invisible before.

⚡️ What sets Mention Network apart from other GEO platforms?

Most GEO platforms lean on API calls and simulated prompts. Mention Network doesn’t. We crowdsource real user interactions with AI, capturing the exact language, intent, and context that actual consumers use, not guesswork. As more users join, the dataset scales on its own, giving you a live, organic pulse of how your brand shows up across every major LLMs.

📊 What intel does Mention Network provide?

Mention Network lets you access your brand's:
- Visibility on AI
- Share of Voice
- Website Citation Share
- Top Performing Topics
- Top Performing Prompts
- Geography Distribution Map
- Sentiment on AI
- Recommended Priority Actions

What's next?
- Trending on AI: a real-time dashboard that tracks what topics, products, and brands are trending across major LLMs globally, providing in-depth analytics for brands to benchmark competitors, understand the sentiment, and thrive in AI conversations.

🧑🏻‍💻 Why do we build this?

As builders and growth hackers, we’re betting on a future where everything runs through AI. That’s why we’re building a platform that lets brands track and amplify their presence inside AI answers, powered by decentralized GEO infrastructure built for the new internet.

🙋🏻 Who is it for?

Mention Network is for everyone. Whether you’re running a scrappy SME or a full-scale enterprise, we surface the hidden AI data that keeps your brand ahead of the curve. Agencies can even white-label the whole stack: your name, your logo, your dashboard, your clients leveling up. One panel to rule it all.

Jump in at mention.network. Onboard in under 30 seconds, try it for free, and tell us what to improve.

Happy to answer all of your questions!

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@leejames good explaination sir ,excited for the future where GEO will outperform SEO

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@leejames cool

▲ 0

@leejames Onboarding in 30 seconds is slick. Will you expand to mobile?

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How can it detect a brand is mentioned ?

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Finished my first step and now waiting for the report to see if it have any different to other GEO tools

▲ 1

nice product! the question seem more relatable than other platforms. really enjoy target audiences part, only mention network make it so clear and easy to understand what i'm doing. just wonder could you guys expand the prompts for free tier? I think even if you guys expand the prompt amount for free tier it won't effect your system or cost much! And it could be more attract to first phase users like us.

▲ 1

Kudos team!!!!

▲ 1

Tried Mention Network this week and damn, this solves a problem I didn’t even realize was killing brands.

Every answer I get from ChatGPT is basically a zero-click search, so it makes total sense that showing up inside AI replies is the new SEO. The AI Visibility Report was eye-opening. I could literally see which brands the models prefer and how often they get mentioned.

Great work team!

▲ 1

Just created a brand report. How long would it take to finish my report?

Anw great product though, i've used profound and athenahq before but the data was kinda hard to understand to me.

▲ 1

Hands down the most important tool I’ve used since traditional SEO died.

The feed of trending AI prompts is weirdly addictive, the visibility reports are stupidly detailed, and getting rewarded just for using AI like I already do feels like cheating.

If you care about where your brand shows up when people ask ChatGPT anything, you need this

▲ 0

Just tried the onboarding flow, super fast! Really curious to explore my report and compare results across models. Great job building this!

▲ 0

Tried Mention Network and it honestly opened my eyes. I always assumed AI talked about brands the same way search does… it doesn’t. The report was quick, clean, and showed stuff I’d never catch on my own. Super helpful if you care about how AI recommends products.

▲ 0

As a young marketer, Mention Network just clicked for me. Every day I see people asking AI for product advice, so knowing how often a brand actually shows up in those answers is a game-changer. The report is clean, fast, and way more real than traditional SEO tools. It feels like the first tool built for how people actually discover things in 2025.

▲ 0