PH热榜 | 2025-12-03

Hey Product Hunt 🚀 I’m Kay, founder of Aha.

I’ve spent the past seven years deeply involved in influencer marketing, and I know just how painful it can be. For a long time, I watched teams struggle with the same challenges my own team faced. It took weeks just to find influencers, pricing was pure guesswork, follow-ups often went late into the night, and content still had to be reviewed manually across multiple tools.Everyone says influencer marketing works, but very few are willing to admit that the execution is chaotic, slow, repetitive, and completely dependent on people.

That reality is why we created Aha. Today, we’re excited to introduce Aha 2.0.

It built for AI companies that want to gain exposure, and scale through influencer marketing without the usual chaos. It acts like your 24/7 AI employee that runs influencer marketing from start to end: finding creators, outreach, negotiation, contracts, content reviews, follow-ups, and performance tracking.

You decide. Aha executes.

💰Pricing is simple: Top up first. Only pay after influencer delivered. Refunds available.

Aha 2.0 means a lot to us. If you try it out or share feedback, we’d truly appreciate it. Thank you for being here 🙏✨

Congrats @luvian_yu and team! Great hunt @zaczuo !

Сan Aha support multi-language campaigns or is it primarily English-focused for now?

Lately I’ve started to see some Reddit posts that are unobviously written by AI and are liked by AI accounts. They (very gently!) promote some of their stuff by giving some valuable information as well. The key point is that people notice that and despite AI agents itself upvote such posts as hell, real people hate it when notice that something is off and it looks promote-y and fishy.

How do you solve this problem in your product?

I have landed two campaigns with Aha, and the number and quality of KOLs are very high, and the recommendations are also very accurate. Expect AHA 2.0

I need some tools to facilitate my kol marketing. Is there a free trial?

Extremely painful to source, outreach and arrange influencers for my content marketing - Aha saves me! Will you display reviews and leaderboard of those influencers in future?

Really interesting! How does Aha choose which influencers match a brand or campaign is it based on niche, engagement, or location?

Aha is an excellent product. I've been using it for a long time, and our company's external KOL collaborations are almost entirely through Aha. It's very reliable.

i have personally singed from my two accounts but never got any deals 🥲 pls let me know where i am wrong ( btw i signed from X accounts)

Nice launch—love the concept of an AI-powered influencer marketing “team” working 24/7.

From a clarity & conversion lens: when a brand manager opens Aha for the first time, what’s the single belief you want them to hold in the first 10-15 seconds?
Is it:
• “I can launch an influencer campaign faster than ever before.”
Or:
• “I no longer need to manage dozens of creator relationships manually.”
Because in growth tools like this, the biggest barrier often isn’t feature count—it’s belief.
Curious how you’re framing that for first-time users.

Hi! I’m Francis, CPO of Aha.

Aha 2.0 comes with several upgrades shaped by working with more than 300 global brands. We focused on making the entire experience smoother and more reliable. 

Algorithm & data upgrades

• Across 300 real brand campaigns, CPM dropped 23% vs March.

• Vetted, high-quality influencers increased from 2M to 5M

Outreach efficiency

• 2× higher acceptance rate at larger outreach volume

• AI-generated personalized messages and automatic reply classification

• Multilingual localization for efficient global collaboration

Trust & delivery

• Creator credit system & delivery scoring for long-term quality assurance

• 100% refund protection for non-delivery, fake data, or low-quality content

• Enhanced verification for outreach domain authenticity

• Multi-layer anti-fraud system ensuring data integrity and reliable delivery

And there’s much more in this release, all built toward one goal：making influencer collaboration faster, safer, and more reliable. 

Would love for you to give it a try and share any feedback ✨

As someone who runs lots of small campaigns, I really appreciate tools that simplify the chaos. It doing matching, outreach, contracts and tracking for me feels like next-level support. I'd love to try this and see how much work it really saves.

This feels like something I personally needed months ago. Managing influencers manually drains so much time and the back-and-forth always slows me down. An AI that handles everything while I just review like a boss sounds unbelievably helpful. I'm genuinely curious to test this.

I'm honestly impressed by how it handles influencer campaigns fromstart to finish. As someone who usually juggles outreach and negotiations myself, having an AI employee take over the messy parts feels like a dream. I'd love to try this flow and see the difference.

Really liked the idea! I’ve noted your project, and we’ll get in touch after launching our startup (we’re finishing the development now). Meanwhile, I have a question: do you have famous travelers in your database? We specifically need travel bloggers.

Ditching tags for LLM vibe-matching is the right move. Keywords never really capture the audience's feel. Nice work.

Huge congrats on the launch—been following closely! The “approve first” step is smart; I can’t stand tools that ping creators without my okay. Super intriguing product, and I’m especially curious how you handle influencer matching and outreach—it sounds like a big, well-orchestrated operation.

Ok interested! Though too lazy to fill in form to get demo 😅

Congrats on the launch! Automating the messy parts of influencer marketing from discovery to follow-ups feels like a massive relief for teams that are stretched thin. What part of the workflow did you find the hardest to automate?

@Aha Congrats on the launch! AI for end to end influencer marketing is ambitious. Running everything from discovery to campaign management in one place saves teams huge amounts of time.

How does Aha handle influencer vetting and authenticity checks? Are brands able to customize their outreach templates while maintaining the AI efficiency?

Curious about how the ROI tracking works across different platforms.

This looks incredibly promising! As a founder navigating the complexities of getting our AI product seen, influencer marketing is definitely on our radar, but the manual effort always felt daunting. The idea of an AI employee handling everything from outreach to performance tracking is a game-changer. I'm especially interested in how Aha 2.0 streamlines the negotiation and content review process. Can't wait to give this a try!

Congrats on the launch! 🎉 Love the "approve first" feature — no one wants spam. Really curious about how the influencer matching works!

Wow this looks interesting! I've found it quite challenging to explore influencer marketing for B2B AI products through agencies but more often than not, their database of influencers lean more towards e-commerce / FMCG / B2C.

A great tool to manage your influencer campaign!

How does Aha identify and rank influencers for a campaign?

Love this! Managing influencers from end to end is no small thing.

One question though,
what happens when a situation gets emotional or requires human judgment?

Does Aha have a way to handle those cases differently?

👋 Hey everyone, I'm Hoshang, Co-founder of Pylar.

Super excited to finally share what we’ve been building.

Agents today are great at reading docs, invoices, websites, transcripts -
but the moment you want them touching structured systems where sensitive customer data is stored e.g Snowflake, Postgres, CRMs… things get tricky.

We kept hearing the same two blockers over and over:

• Agents may over-query and silently spike warehouse bills

• Agents are at a risk of leaking sensitive data (PII, financials, customer history) because access isn’t properly scoped

And right now, teams have two options:

- Off-the-shelf MCP servers : 18,000 exist, ~10% are malicious, and most are exploitable or too generic for production.
- Custom API wrappers : months of engineering bandwidth used up in building endpoints, policies, and governance… all brittle, fragmented, and hard to audit.

This forces companies into a painful choice: lock agents down so much they become useless, or open things up and risk a security incident.

Traditional database ACLs weren’t designed for autonomous systems. Custom APIs are hard to build, govern and control for agent level interactions.

Pylar exists to fix this. It’s a governed access layer between your agents and your entire data stack.

You connect your datasources → define sandboxed SQL views → turn them into MCP tools → ship them to any agent builder… all from one control plane, with full observability.

What you get out of the box:

• Agent-specific sandboxed views (never raw DB access)

• Enforced permissions & guardrails

• Automatic breach containment + audit logs

• Publish to any agent builder (n8n, Cursor, Claude, LangGraph, etc.) via a single secure link

We’re already working with some fantastic data, platform, and security teams - everything from internal analytics copilots to customer-facing AI features wired directly into production data.

If you’re exploring structured-data access for agents, I’d love to hear your thoughts, help you build your use case or just share best practices on what we've been seeing with our customers. You can book a call with me here if you'd like.

Thanks for checking us out — means a lot. 🚀

- Hoshang
Co-founder, Pylar

Finally, someone tackling the agent-to-DB mess. I’ve nursed a painful Snowflake bill from a runaway agent. Sandboxed views + audit logs feels sane. How do you cap query spend per agent? Might wire this into Cursor first, then LangGraph if it holds up.

Congratulations on the launch 🎉 🎉 !!

@vishalbajaj Great product! All the best for your launch 🎉

Does Pylar throttle or rate-limit agent queries in any way? Congrats on the launch.

Congrats on the launch @hoshang_m this solves a serious gap for teams working with sensitive, structured data. I’m curious how Pylar handles evolving permission needs over time. If schema or data-access policies change, can sandboxes and guardrails adapt without teams rebuilding the entire setup?

I could see how integrating Pylar’s AI-driven workflow automation could streamline content and data processes inside our tool, and I’ll go check it out to explore the possibilities.

It's an amazing idea. So can the agent run analytical queries in the DB as well?

congrats on the launch!

amazing product guys well done !!

@hoshang_m Congratulations. And happy product launch.

Congrats Hoshang! Pylar seems like a huge step forward for safely connecting agents to structured data.

How do you monitor agent behavior across different builders (Cursor, LangGraph, n8n, etc.) from one place?

Custom APIs are a nightmare and MCP servers are a minefield. This feels like the first real governed layer built for agents. Good work!

Don't fully understand what this is. What's the top 3 use cases for this?

Congratz on the launch team! With agentic AI this will be a must.

Impressive launch—especially how Mistral 7B pushes the boundaries of open models while remaining lightweight and efficient.

From a clarity & onboarding lens: when a dev or product team opens Mistral 7B for the first time, what’s the single belief you want them to adopt in the first 10-15 seconds?
• “I can deploy a best-in-class model without massive compute or bespoke infrastructure.”
Or:
• “This open model gives me enterprise-grade performance with full control.”
Because with foundational models, the biggest barrier isn’t parameters—it’s belief.
Curious how you’re framing that for first-time users and what the “aha moment” looks like in your product journey.

Im really impressed with GPT OSS 120B in Antigravity. Its suppose to be level with gpt5 etc. And its possible to run on mac studio, with the highest specs etc. So future look good for local Agentic LLM's. would love to compare this to the GPT OSS model. A local cursor IDE would be huge. Its kind of sad that coding is pay to play at the moment. I spend 100$ a day in coding. It's wild.

I personally tried Mistral 3 Large when it came out yesterday and think it's a good model in terms of multilanguage and multimodality (as even the smaller models with less params can run purely in browser and confidently detect objects correctly - so kudos for that). But the Mistral 3 Large itself still seems to need a bit more power as in my own evaluations it still lags a bit behind the new deepseek 3.2 in logical thinking, coding and math tasks. But yeah, for users in european countries needing a multilingual assistant it's still the best in that scenario

Which industries or applications do you think will benefit most from these open models?

Which industries or types of work do you think will get the most help from these open models?

Hey Product Hunt, Anuraag here, co-founder at TrueFoundry 👋

When we first thought about a “gateway”, we imagined a simple LLM routing layer in front of models. Pick a model, send traffic, switch if needed. Easy… or so we thought.

Once teams started putting agents and MCPs into production, we realised the hard stuff wasn’t just about routing. It is:

• Different MCP auth flows for every internal system.

• Traces & logs that break once you chain models, tools, and agents

• Data residency and “this data must stay in this region” rules,

• Security asking “who called what, when, with which payload?”,

• Product teams need to swap models without rewriting everything.

So the “router” slowly turned into a proper control plane that sits between your apps, LLMs, and MCPs - making sure traffic is reliable, auditable, compliant, and still fast for developers to ship on.

Today, TrueFoundry’s AI Gateway sits at the center of production traffic across 10+ Fortune 500s, powering their internal copilots and agents while platform teams use it to keep costs, safety, and observability under control - rather than maintaining a pile of custom glue code.

🔗 Sign Up Link: Please try and give us feedback! 🙏
🎁 Launch perk: 3‑month free trial for the PH community

If you’re wrestling with MCP auth, logging, or data policies, drop your setup in the comments - curious to see how you are wiring your stack today!

Great work on the launch!

Curious…how seamless is it to integrate existing internal copilots or agents without modifying their current workflows?

Really cool! Quick question — how does fallback actually work under the hood? Does the gateway retry with a secondary model automatically?

I have used OpenRouter, LiteLLM, Vercel AI Gateway, how is it better than those? Just trying to understand, specifically from a developer perspective.

Congrats on the launch, this looks really well thought out!

I’m curious about your approach to regional data rules - can customers control where data at rest is stored so it complies with local regulations (EU, US-only, etc.)?

Finally, an AI Gateway that brings order to the LLM chaos! Love the unified API access and critical cost controls like semantic caching. Congrats @agutgutia and TrueFoundry team!

Looks solid. What could be the inherent advantage though against setting up something like LiteLLM which I believe is open source?

Hello Product Hunt Community, Nikunj - cofounder & CEO.

Today's launch is super close to my heart, not just as a product but as a package of learnings we have been fortunate to accumulate working with Enterprises. Those who have been building at cutting edge, and have shown the courage to reverse decision they previously believed to be correct. Best illustrated through an example of a real customer conversation with timelines.

June 2024: Customer (building a scaled use case): "We will never use Gateway. It lies on the critical path of the request and is such a thin layer that we will own this part ourselves. Model inferencing, GPU management is a different story".

Sep 2024: Customer (As Sonnet, o1 were getting launched): "These APIs keep changing, models keep getting outdated - Gateway is becoming a pain to maintain"

Nov 2024: Customer (As other teams started to ask for inferencing): "Its one thing to support one use case through the Gateway but as we are becoming a platform, now we need a lot more visibility and control layer".

Feb 2025: Customer (As the gateway went down and they started losing $6k / second): !

May 2025: Customer (As MCPs started becoming popular): "Its becoming impossible to catch up with the market, scale the Gateway reliably, and add the right controls for satisfying varying requirements from different teams. @nikunj_bajaj are you all continuing to build the Gateway?"

May 2025: Nikunj: yes, we are.

June 2025: Customer: Started migrating prod traffic to TrueFoundry AI Gateway.

July 2025: Customer: Observability, governance controls became a critical part of their workflow.

Oct 2025: Customer: First MCP driven application launched to prod.

Nov 2025: Customer (over a dinner): I remember having a conversation with you about 1.5 years back thinking we will run our own Gateway. Glad we shifted :)

We have learnt so much in terms of how to build the right design on our AI Gateway, access controls, authentication / authorization and making it compatible with existing Enterprise stacks on MCP Gateway, very difficult data residency requirements, how certain guardrails don't "just work" etc. etc.

And this launch marks the joint success of our collaboration with many other early adopters of TrueFoundry who have helped us build and shape our AI Gateway. Cheers to our customers.

Congrats on the launch. Having a unified OpenAI compatible endpoint across all LLM providers is a game changer for devs!

Really cool work! Excited to see its growth!! What is the most common Guardrail rule F100 companies use to prevent unexpected agent recursion or tool-call looping?

This is one of the strongest interpretations of the MCP standard I’ve seen yet.

While most implementations simply expose tools, you’ve built a managed layer that agents can reliably operate through. With secure tool access, permissioning, and consistent interfaces, this has the potential to become a solid backbone for enterprise-scale agent ecosystems. Really looking forward to seeing where the roadmap goes from here!

congratulations on the launch Anuraag!

Congratulations on the launch, @agutgutia and the @TrueFoundry AI Gateway team! I am looking forward to trying this out. It is very timely. Does it include a RAG repository or any integrations with vector databases?

This solves a real problem. Congrats on the launch @agutgutia @nikunj_bajaj @deeptishukla I’m curious how TrueFoundry’s AI Gateway manages policy enforcement and observability when multiple agents and models are chained together, does it maintain full traceability through the entire workflow?

So you can create an agent and connect it in your app and change models dynamically?

The developer experience look really clean! One API key, one endpoint, and access to multiply models with consistent logging is exactly the simplicity terms need. I'm curious about latency - what kind of over head should teams expect when routing through the gateway with guardrails enabled? Excited to check this our!.

Do you plan to expand support for regional LLM providers to cater to teams with data residency requirements? Also, will the platform include pre-built guardrail templates (e.g., for PII redaction, content moderation) to accelerate compliance setup?

Great product. This is bound to accelerate development in the agentic AI sector. Do you think your differentiation factor will remain monetizable as the market saturates and there is greater polarization towards a few key providers, diminishing the need for a complex monitoring system?

Good launch. Congrats!

One question: how do you see the Gateway influencing collaboration between ML and platform teams? Does it reduce friction around deployment and oversight, or does it introduce a new coordination layer they need to align on?

Sounds interesting product, Congrats on launch

We have been using TrueFoundry for 2 years and a half. I think their managed kubernetes (with the right level of abstraction for a ML team) was already a great product.

This AI gateway has further increased the value of TF for us. We use models from both OpenAI (through Azure) and Gemini (GCP). But TrueFoundry provides us with better observability than either native interfaces. Thanks to the gateway we have:

• Detected that the P99 latency of some models was much higher than anticipated, and added backup-models to mitigate this issue.

• Tracked why our spend was ~twice higher than expected (and corrected the faulty app).

We're not using much the guardrails and rate limit yet. However, I believe they will prove useful to manage complexity as our team grows.

this is the kind of product that would benefit a lot of teams thought!

Great product, all the best!

Very nice, with Openrouter & co you'd not be able to bring your own key

Looks great! Excited to try it out

Looks super interesting! Good luck team :)

This is impressive. What stood out to me is how you’ve taken all the messy parts of running agents in production—MCP auth headaches, scattered logs, model swaps, guardrails—and pulled them into one place. The trace visibility alone feels like a huge win for anyone trying to move beyond demos.

I’m curious to see how this scales as more teams start chaining complex workflows. Great work and congrats on the launch!

Congrats on the launch! This is definitely useful from a security and compliance standpoint

Hey Product Hunt community! Excited to share what we have been building at Fellow.

Fellow 5.0 redefines how you capture and leverage meeting data. It’s built for teams that care about security, accuracy, flexibility, and control over how their information flows.

What’s new:

• Botless recording: capture conversations without a bot, while maintaining your organization’s governance standards 

• A cleaner, faster interface that makes it easier and faster to gather meeting insights 

• Custom AI note templates so every team can standardize how their meeting recaps look, from interviews to sales calls 

• Connect your AI tools: now ChatGPT, Claude, Cursor, and others can securely reference your meeting data 

• Smarter Zapier workflows so your recaps can trigger downstream automation instantly 

• Richer API access with transcripts, recaps, metadata, and AI notes available for custom integrations

Join us live to see everything in action today: https://fellow.ai/live/fellow-5-0-launch

Hope to see you at the launch event - we’ll be answering all your questions live!

Congrats on the 5.0 launch! 🎉 As an analyst, privacy is usually the biggest blocker for us adopting AI meeting tools. The 'botless' recording option is a huge UX win—it always feels a bit awkward having bots clutter up the participant list. Good luck today!

This looks so neat, really solid!

Fantastic launch, Fellow—love how you’re making meetings more than just “another calendar slot.”

From a clarity & conversion lens: when a manager or team member opens Fellow for the first time, what’s the single belief you want them to leave with in their first 10–15 seconds?
Is it:
• “My meetings will finally lead to clear actions.”
Or:
• “Our team will spend less time recovering from meetings and more time doing meaningful work.”
Because in team productivity tools, the biggest adoption barrier often isn’t missing features—it’s whether users believe the tool will change how they feel about work.
Curious how you’re shaping that first emotional win.

What I enjoy most about it is how it respects my workflow. I don't always want a meeting bot showing up, so the botless option feels refreshing. Pairing it with Zapier helps me keep every follow-up automated while staying in control of the whole process.

I've been wanting a cleaner way to manage meeting notes and it finally feels like something that matches the way I work. Botless recording is perfect for me and the Zapier automation keeps everything organized without needing extra tools or complicated setups.

As someone who cares about privacy, the botless recording in it fits perfectly into how I run meetings. I like feeling in charge of what gets captured. The AI recaps and Zapier workflows also make follow-ups easier for me without adding extra steps.

Bam! Congrats team Fellow, making my every day meetings so much more valuable and organized

pretty dope release. the botless recording is a nice addition to an already premium platform.

Big congrats on this launch! The cleaner interface alone sounds like it’ll save so much time.

Congratulations on the updates! I have an idea for you: create modes for analyzing such calls based on a predefined topic. For example, if it’s a sales call, it could be analyzed from the perspective of best sales practices. If it’s a contract discussion, it could be analyzed from the perspective of best legal practices, etc. After the call, selected participants would receive a report with recommendations.

We tested Fellow across Zoom, Meet, and Teams, and the biggest win for us was the privacy model — no data training, no weird permissions, and full control over who can access what. That alone made our security team happy.

Transcriptions are accurate, summaries feel human, and the Salesforce/Slack integrations saved us a ton of manual updating.

Congrats on the launch!

Really like the clean look and feel. And even more the possible integrations with MCP and Zapier - the possibilities are unlimited here.

@aydin_mirzaee Botless meeting notes are refreshing! The MCP and Zapier integration makes this way more flexible than traditional tools. How does Fellow handle context across multiple meetings?

Are teams able to customize the AI summary format for different meeting types?

The workflow automation piece could be huge for reducing manual work.

Great product! It would be even better if it supported recording, transcription, and summarization for Discord voice channels as well. Do you happen to have any plans for this

Congrats on the launch! Opening up transcripts, metadata, and AI notes through the API gives teams so much more flexibility. Are you planning any additional automations or workflows next?

@aydin_mirzaee congrats on the launch! Looks great and love the focus on better triggering for downstream workflows. We're actually launching tomorrow with a Slack agent that automatically extracts feature requests from customer calls and lets you review and file them to Jira right from Slack. Could be an interesting integration or use case for that downstream workflow!

I really like the privacy and control settings of fellow. Just curious - whats the difference in functions compared to other meeting assistant build in those meeting apps like Zoom etc?

How does it recognize to Zoom meetings? Is it a desktop app and a Chrome extension?

If you’ve been watching us build Fellow over the years, you know we don’t do things halfway. But looking back at where we started and where we are today with Fellow 5.0? I’m honestly blown away.

We’ve come so far, and I am excited to show you what the team has been working on.

Join us for a live product launch event today and get a front-row seat to how we're redefining meetings: https://fellow.ai/live/fellow-5-0-launch?ref=producthunt

Hey Product Hunt, I’m Pete, CEO at Dagster! We just launched Compass: collaborative AI-powered insights in Slack powered by your data warehouse. Finally, you can get to the “why” behind your metrics in seconds, not days.

We originally built Compass as an internal tool to solve our own business problems. We have a great data team, and built out a comprehensive data warehouse containing all of our critical business data like sales opportunities, marketing campaign performance, and product engagement analytics.

However, we struggled to really leverage this data at our organization. Our BI dashboards were great at telling us the “what” - how our sales pipeline is trending, how many DAUs we have vs MAUs, what our AWS spend was last week, etc - but it didn’t tell us the “why.” Why is pipeline down? Why did DAUs spike? What drove our AWS spend increase? Etc.

We had these sorts of questions on a daily basis. And every time we did, we’d file a ticket for our excellent  data or revops teams, interrupt their day, and wait a few hours or day or two to get an answer.

Like many companies, we built an internal Slackbot to solve this problem. Anyone could ask it a question in natural language, and it would return an answer, complete with data visualizations and its methodology.

It took off like wildfire, and a majority of our employees started using it on a weekly basis. We decided to turn this internal tool into a fully supported product offering we’re calling Compass.

How Compass is different

We took a different approach than a lot of other AI tools in this space.

🖥️Slack native. We exist solely within Slack. There’s no separate web app to long into, so it’s easy for users to get started immediately.

👥Fundamentally multiplayer. We let data people, business stakeholders, and AI all work together seamlessly to iterate to the right answer.

🏋️Proactive. In addition to answering questions, Compass will deliver personalized data insights every day, surfacing useful trends and starting points for analysis. One of our customers (a highly successful tech unicorn) found a support issue impacting $10mm+ in revenue in the first week.

🧠Crowdsourced business context. This is our secret sauce: we automatically and continuously learn business context based on properties of the data, characteristics of the business, and, most importantly, end-user interactions.

All of this is governed by a gitops workflow, which keeps the data team in control and brings a real SDLC to context engineering.

Who is it for?

Compass is about bridging the data team and the business. Data teams - anyone that manages a modern data warehouse like Snowflake, Databricks, BigQuery or Athena - will benefit, as will their stakeholders: sales leaders, marketing leaders, recruiting leaders, executives, as well as ICs.

Get started at compass.dagster.io. Onboarding only takes a few minutes, and if you sign up before the end of the year your first month is free!

Strong launch Pete. Compass feels powerful and focused. Congrats to you and the team.

This is the kind of thing that makes you wonder why every data tool isn’t just… in chat already. Nice launch!

If you dont mind me asking? What are the 3 top use-cases for this?

Congrats on launch! Dagster Cloud looks super clean.
What’s the first “oh wow” moment you want new users to experience when they jump in?

I could see how our tool could benefit from Dagster’s orchestrated, reliable data workflows to streamline automation and analytics — I’ll go check out this launch and dig in further.

How do you handle conflicting interpretations from multiple stakeholders asking questions in Slack?

Absolutely amazing!

How does GitOps-backed context actually work in practice? are all changes versioned and reviewable before going live? Congrats.

How does Compass handle ambiguous or poorly phrased queries in Slack? Does it ask clarifying questions or make assumptions?

Hi PH! 👋

We’re the makers of GNGM — a tiny habit for big sleep wins. After struggling with irregular sleep and feeling overwhelmed by trackers and metrics, we built something deliberately simple: one short, calming check‑in each night that helps night‑owls rebuild a consistent rhythm without pressure or data noise.

Why GNGM?

• No trackers, no wearables: nothing to sync or monitor.

• No shame or strict rules: a gentle routine, not a regime.

• Designed for night‑owls: realistic prompts and timing that respect your lifestyle.

• Minimal, calming feedback so you can see progress without getting obsessed.

How it works

1. Quick nightly check‑in

2. Subtle cues and nudges to help you wind down and establish consistency.

3. Lightweight progress signals over time — enough insight to keep you motivated, never overwhelming.

We built GNGM because small, consistent rituals beat massive overnight changes. It’s for people who want to feel better rested without turning sleep into a full‑time project.

We’d love for you to try it and tell us what you think — what helped, what felt off, and any features you’d actually use. Ask us anything below; we’re excited to hear from other night‑owls and sleep-curious folks.

Thanks for checking us out!

— The GNGM team

This launch feels different for me tbh. I pulled way too many late nights building GNGM and kind of… burned myself into making a sleep app 😂

Pretty happy I don’t have to stay up that late anymore. Hope it helps you sleep better than I did while coding it.

Looks polished! Does it support "free-running" sleep rhythm?

Do the nightly prompts adapt over time based on my habits, or stay consistent?

Wow using Suno for sleep sounds was super smart. Looks like it’ll be the norm for all kinds of use cases like this. Congrats on the launch!

Congratulations on the launch 🎉 🎉 !!!!

Finally see a product like this! Sleeping is normal, but good sleeping is a big challenge. Hope this app can solve my problem

Love the “no pressure, no trackers” approach. I’m a night-owl who’s failed at every strict sleep routine, so this feels really refreshing. Downloading now.

@jotzilla @polman_trudo Nice approach to sleep improvement without overwhelming users. I’m curious how GNGM measures progress in a meaningful way without relying on trackers, what signals or habits indicate someone is actually improving their sleep consistency?

@justin2025 Congrats on the launch 🚀

Can you please tell me how GNGM breaks our late night habits ?

Really love the vibe and mission behind GNGM. As someone who naturally leans toward late nights, the idea of a gentle, no-pressure nightly check-in instead of data-heavy trackers feels refreshing — it’s exactly what many “night-owls” like me need. The simplicity (no wearables, no complicated charts) is a strength: just a calming routine to help reset your rhythm. Looking forward to seeing how consistent use can reshape my sleep habits.

Do you plan to add customizable reminders or optional “wind-down rituals” (e.g. light stretching, breathing prompts, soft audio) to make the nightly check-in even more helpful?

looks cool, congrats for the team!

I could see how our tool could plug into GNGM’s streamlined no-code workspace to simplify automation around our community workflows, so I’m going to take a closer look at this launch and explore the synergy.

I seriously need this app! havent slept well since building my current project, and hope GNGM could save me out...

@justin2025 Congratulations. And happy product launch.

So the name GNGM means "good night, good morning"?

Do you plan do add a feature like sharing the sleeping time with family?

Night owl here. Kinda burned out on rings/graphs. One simple check‑in sounds… doable. Curious what the wind‑down nudge feels like—like a tiny prompt or more of a ritual? Either way, I could use gentler evenings. Saving to try this week.

Congrats on the launch! 👏
I haven’t tried GNGM yet, but the concept immediately stood out to me. Most sleep apps feel heavy with data, graphs, and pressure but this focus on a simple nightly check-in and gentle cues sounds much more realistic for people who just want a calmer routine.

I really like the idea of helping night-owls reset without turning it into another “project.” The minimal, non-judgmental approach feels refreshing.

A few questions out of curiosity:

1. How did you validate that a single nightly check-in is enough to build consistency?

2. Do the prompts adapt over time, or are they intentionally kept static to avoid overwhelm?

3. Are you planning integrations (Apple Health, reminders, etc.) or deliberately staying “no-tracking”?

Looks great - wishing you a smooth launch day! 🚀

Really nice launch, GNGM team. From a clarity & onboarding lens: when a user opens the app for the first time, what’s the one belief you want them to leave with in the first 10-15 seconds?
Is it:
• “I’m finally doing a simple routine I can stick with.”
Or:
• “This app understands my late-night rhythm and doesn’t judge it.”
Because in habit-change tools, the biggest barrier isn’t features—it’s the user’s belief that change is possible without pressure. Curious how you’re shaping that.

i've been staying up and then hating myself in the morning, just installed it on my phone and wish it really changes my life.

Expect my experience share & review in a month.

Science behind this?

Congrats on the launch! I've been an AutoSleep user for years, but the UI is honestly quite unappealing, and GNGM looks like a great alternative!

Congratulations on the launch of GNGM! This is such a thoughtful way to help night-owls rebuild a gentle, consistent sleep routine. I love the idea of a simple nightly check-in without trackers or data overload, just a calming routine to reset naturally. Excited to see how this helps people sleep better!

Hey everyone!

Building GNGM has been a really personal journey for me. I’ve struggled with sleep for a long time, and with my team, I wanted to create a space that helps people rest better, recharge, and feel calmer.

Along the way, we’ve packed our sleep app with features that we ourselves found really helpful, from guided routines to tools that make winding down easier. It’s been a lot of work, but we’re really proud to finally share it with you. We’d love to hear your thoughts - what works, what could be better, and any ideas you might have.

Your feedback will help us make GNGM even more helpful for everyone who needs better rest.

Thanks for checking it out!

- M

I thought it was GMGN before I clicked in. LOL

Nice name!

Hey folks!

We built Protaigé because we saw marketing teams facing a difficult choice: sacrifice brand consistency to move fast, or slow down to maintain quality. We wanted to build a third option: an AI system that understands your brand as well as you do.

Protaigé is a creative agency in the cloud. It takes you from a simple brief to a full campaign in minutes.

Here is what makes us different:

🚀 End-to-End Production: Protaigé automates the entire campaign production process. From your initial brief to the final export, we build every asset in one connected workflow. Unlike many other AI tools that are point solutions and handle just one task like copywriting or banner generation.

🧬 Brand DNA: Generic AI output often sounds soulless. We allow you to upload your brand guidelines and other relevant brand assets and documents. Our system ingests this to ensure every output aligns with your voice and visual identity.

💡 Strategy First: Most tools skip straight to execution. Protaigé starts with strategy by completing the marketing brief and then developing distinct creative concepts for you to review and approve before it builds a single asset.

Who is this for? We designed this for marketing teams and founders who need to scale output without scaling headcount. Whether you need a tactical push or an integrated campaign, Protaigé handles the heavy lifting.

Our Launch Offer: We are currently in Public Beta.
- Campaign Lite: You can try the platform on our free plan.
- Campaign Plus: For this launch, we offer a 75% discount on our Plus plan ($49/month) for small teams.

We want your feedback. Specifically, does the Brand DNA capture your tone correctly?

Excited to hear your thoughts! 👇

Great! Do you also manage social media and email campaigns from your dashboard?

Seeing a full campaign appear instead of random headlines feels refreshing. No patching thigs together anymore.

Very smooth process!

Seeing a full campaign appear instead of random headlines feels refreshing. No patching things together anymore.

Really like the strategy first approach here. Most AI tools jump straight into spitting out assets, but campaigns only work when the thinking is solid. The Brand DNA angle is also interesting. Generic AI copy is a real issue when you’re trying to protect a brand's voice. Excited to see how well it adapts to different tone guidelines.

It looks so easy to create a campaign! Great tool, my congrats!
And I was the 200th person to upvote Protaige :D

digital marketers need to pay very close attention to products like this. Would love to give it a try for my side projects.

The connected workflow approach could really help avoid the disjointed outputs we see with multiple AI tools.

Excellent launch, Protaigé team. From a clarity & onboarding lens: when a marketing lead opens Protaigé for the first time, what’s the one belief you want them to hold in the first 10-15 seconds?
Is it:
• “I can launch a full on-brand campaign in minutes, not weeks.”
Or:
• “This system already knows my brand’s DNA—my work aligns automatically.”
Because in tools promising “speed + brand alignment,” the biggest adoption barrier isn’t features—it’s the user believing it fits me. Curious how you’re framing that for first-time users.

do you use a variety of different models? or one in particular?

Congrats on the launch Wawa, Protaigé looks strong and well designed. Upvoted. I am co founder of bestofweb .site and after your launch if you want more visibility you are welcome to join and introduce it to our founder community.

Hey Product Hunt! 👋

After years fighting performance bottlenecks in embedded projects — spending endless time hunting for the right computation path, the right variable type, or the right compiler flags for a specific hardware target — we wanted a tool that finally connects real hardware constraints with modern AI.

That’s why we built beLow.

It analyzes your C/C++ code on your own hardware target, measures actual CPU cycles, memory patterns, and instruction-level behavior, and feeds all of that directly into AI agents that propose optimizations or even generate hardware-aware code.

What makes it different?

Most AI tools generate generic code with no understanding of embedded constraints. beLow is fully hardware-aware, runs locally, and blends static + dynamic analysis to surface concrete, measurable gains. Early users in automotive, aerospace, and IoT are already seeing execution-time improvements of up to 45%.

To celebrate our Product Hunt launch, we’re opening our software and giving PH users priority onboarding + extended free usage.

If you want faster, leaner embedded code:

👉 Install the VS Code extension

👉 Run the MCP server

👉 Analyze, optimize, or generate code instantly

We’d love your feedback — help us shape the future of AI-guided embedded development. 🚀

Impressive launch, beLow. When a firmware or embedded dev opens this tool for the first time, what’s the single belief you want them to hold in the first 10-15 seconds?
Is it:
• “I’ll get measurable performance gains without diving into hardware micro-optimization myself.”
Or:
• “This tool understands my hardware and my constraints out of the box.”
Because in embedded optimization tasks, the belief that a tool gets me and my stack often matters more than whether it supports 50 hardware targets.

Really smart tool. When beLow generates “optimized code tailored to target hardware,” does it support multiple target platforms?

Congrats on the launch. Love that beLow doesn’t just point at hotspots but actually generates optimized code tailored to the target hardware.

Having an agent that can analyze, propose changes, generate code, and push through CI/CD makes “continuous performance optimization” feel realistic instead of a one‑off tuning sprint just before release. Congrats!

The MCP server + AI‑agent angle is exciting, indeed!

This is huge for embedded teams — manual optimization is always the biggest time sink.

Amazing! Great to see something for C/C++.
Can it detect memory leaks alongside optimization?

I've been frustrated with the trade-off between quick integrations and true ownership, so this caught my attention immediately. The idea that I can build on official APIs and still maintain full control feels great for someone like me trying to scale responsibly.

As someone who's always wanted more control over my payments stack, this really speaks to me. The idea of getting direct access to Pix and Open Finance without drowning in years of licensing is huge. I like hoe flexible and builder-friendly your approach feels.

Excellent launch, Cumbuca team. From a clarity-onboarding lens: when a fintech opens your platform for the first time, what’s the one belief you want them to walk away with in the first 10-15 seconds?
Is it “I can launch payments in Brazil without building full rails myself” or “I’m working with a licensed entity that knows Brazil’s regulation and compliance”?
Because in payments infra, the belief that someone has already taken care of the hard part often drives faster adoption.

Brazil is a huge market, which ingorned by a lot of products because of payment issues. Having a payment gateway is a huge step and makes it easier to get to this big market!

Hey @ruhman great pivot! I can't imagine a better team to be building this in Brazil other than you guys, so congratulations a lot for the pivot and the launch!

I have been following Cumbuca since its founding. This pivot speeks volumes about their flexibility and competence. They are skillfully navigating a complex regulatory inviroment and were still one of the first 3 companies with an ITP license in Brazil.

Keep up the great work!

This solves a massive gap in Brazil’s fintech space — autonomy without waiting years for a license.

Congrats on the launch! Why only Brazil? Will other South American countries be added in the future?

@ruhman Building payments infrastructure in Brazil is exciting! The license based approach gives developers more control than typical payment SDKs.

How customizable is the infrastructure? Are fintech startups able to white label this for their own products?

Curious about compliance and how Cumbuca handles the regulatory complexity in the Brazilian market.

Hey ProductHunt! 👋

I’m Berit, co-founder of Korl. Thanks for checking out our launch!

This Slack agent actually started as a hacky internal workflow we built for ourselves. We were tired of trying to remember to log Jira issues after every customer call. We were building things our customers had asked for… but forgetting to close the loop when they shipped. We knew AI could automate this, and we didn’t want yet another system to log into.

So we stitched together a rough agent that reviewed our Fathom call transcripts, flagged feature requests, and pushed them into Slack for quick triage.

Then one of our customers saw it and asked, “Can we have that?” That’s when we realized this should be part of our product, not just an internal tool.

Today’s launch is that productized version. It:

• Captures feature requests automatically from call recordings

• Routes them to Slack so CSMs or Sales can add or update Jira issues from Slack

• Tracks progress and drafts personalized updates when features ship

We’d love to hear from you. What’s your current process for tracking customer requests? And what would make this agent more useful in your workflow?

Thanks again for your support and for being part of the Korl community!

Beautiful launch Berit. Korl feels simple and powerful. Congrats to you and the team.

Cool. And finally, do you allow the presentations to be exported to different formats?

Oof, this hits my “where’d that request go?” panic before QBRs. Pulling asks from Gong → Slack/Jira then nudging when it ships… nice. Also into the auto-deck angle. Curious how well it de-dupes and maps to existing tickets.

Impressive launch, Korl team. From a clarity & onboarding lens: when a customer-facing team opens Korl for the first time, what’s the one belief you want them to hold in the first 10-15 seconds?
Is it:
• “I understand each customer’s unique value path, not just their usage data.”
Or:
• “My presentation will reflect their brand, context, and issues—no generic slides.”
Because in tools aimed at personalization at scale, the biggest adoption barrier isn’t features—it’s belief that it gets the customer, not just the data.

Korl hits a major pain point for CS/AM teams: the grind of turning scattered product + customer data into polished, personalized decks and renewal materials. Rather than wrestling with spreadsheets, Jira tickets, Slack threads, and having to build each customer‑specific slide by hand, Korl pulls everything together and auto‑generates meaningful presentations.

I especially like that it doesn’t treat “presentations” as generic templates — it builds them around real context: who the customer is, how they use your product, what their priorities are, and what value you’ve delivered or could deliver next. That shift from generic to personalized is where automation actually adds value.

For startups or small SaaS companies that can’t justify a full‑time CS ops or presentation builder, Korl seems like a tool that lets you punch above your weight: better customer communications, stronger renewals, and more consistent value messaging without scaling headcount.

That said — the real test will be how well the “AI + data sync → presentation” pipeline handles edge cases, complex data, and constantly evolving products. If that holds up, I think Korl could be a game‑changer for customer-facing teams.

I could see how our tool could benefit from Korl’s workflow automation and streamlined collaboration features, so I’m thinking this could work well together and I’ll go take a closer look at their launch.

How customizable is the routing to Slack channels or Jira projects?

Hi ProductHunt! You probably use a lot of ChatGPT or Claude for work (as did we) but we kept running into three problems:

1- They didn't have a deep understanding of my work. None of them knew what I’d said in a slack thread, on a video call, or what the latest updates to a file in my google drive were.
2- They couldn't actually do my everyday work tasks. They’d stop short of actually completing my work, like creating the actual jira tickets, sending followup emails, and updating my CRM.
3- They were too reliant on me starting a chat. I wanted something that would be able to proactively surface anything that should be important to me - things I need to take action on or updates on projects I’m watching.

We built Nerve to solve for this and be the one AI any company can use for work. It’s enterprise ready, SOC 2 certified, and SSO compatible.

Our customers are using Nerve for tasks like:
- Find all users that have requested a mobile app at some point and send them an email about our launch
- Write me a PRD using this template and then create the corresponding JIRA tickets
- Update the Salesforce opportunity fields from a gong call transcript and draft a follow up for any action items

Nerve is free to try at https://www.usenerve.com/, and to celebrate our launch we're giving extended trials to the first 150 users from PH, message me at aziz@usenerve.com to claim :)

A next-level productivity tool. Does Nerve support customizing workflows or is it limited to built-in integrations only?

Hey PH! Cofounder/CTO here at Nerve.

We solved a ton of technical challenges while building Nerve -- everything from indexing huge amounts of data while maintaining a strict permission layer, to building more advanced agents that are able to handle more complicated workflows like pipeline reviews or performance evaluations, and even dealing with writing data back to dozens of apps.

Happy to chat about any of those if you’re curious, and always open to feedback!

I've been using Nerve for over six months as a PM at OpenSpace.ai. Last week I dropped a call transcript in and asked it to draft a PRD and tickets for a quick, scrappy project we wanted to ship fast. It came back with a full draft—and flagged issues we'd raised six months ago when we first discussed this project. Context pulled from old team notes, calls, and docs that nobody on the current call had mentioned. That alone saved us a ton of headaches. The beauty is now the Nerve agent takes it one step further and actually creates the Jira tickets.

No other AI tool I've used comes close to this level of context understanding. Nerve actually knows my company. It's accurately incorporated bits of information from years ago and somehow can avoid getting lost in irrelevant context. Honestly, mind-blowing. Very impressive work from the Nerve team.

Congrats!! I have used Nerve as a PM and it has been instrumental in finding and sharing knowledge with stakeholders. Rather than sifting through multitude of documents, engineers, designers, marketers now ask questions to Nerve and get answers quickly. It led to a greater engagement and stronger shared context across our team.

I lead product at OpenSpace, and over the last few months Nerve has quietly become one of the most important tools in my day. It started as “yet another AI thing to try” and ended up feeling a lot closer to an extra person on the team.

A lot of AI products are basically “ChatGPT with a different skin.” Nerve is different in two important ways for us:

1. It actually knows our company.
   Nerve sits on top of the tools we live in every day—Gmail, Slack, Google Drive, Gong, Jira, Salesforce, etc.—and indexes them in a way that respects permissions. It can only see what I can see, but it brings all of that context into a single conversation. That means I can ask things like:

   • “Show me everything customers have said about [competitor] in the last 2 weeks across Gong and Slack and summarize the themes.”

   • “Remind me what we committed to in my last call with [customer] and draft a follow-up email.”

   • “Pull in the latest PRDs, specs, and Slack threads related to this epic and help me write an updated product brief.”

2. It’s built for actual work, not just answers.
   The place where Nerve really shines for me is long-form, messy work—the stuff that usually takes real time: product specs, strategy docs, customer updates, competitive reviews, internal memos.

   My typical workflow now looks like:

   • Start with a messy brain dump: “Here’s a wall of Slack, Gong, and doc links. Help me turn this into a draft PRD in this template.”

   • Apply our own templates: we’ve set up PRD and internal comms templates, so Nerve can mirror our exact structure, tone, and headings. It doesn’t just write “a document” – it writes an OpenSpace-style document.

   • Iterate in place: I highlight a section and say “tighten this,” “make this more executive-friendly,” or “add risks and open questions based on the source material” and it edits just that portion instead of rewriting the whole thing.

For me personally, Nerve has replaced a lot of painful context gathering and blank-page time. A few concrete examples of how I actually use it:

• Prepping for important calls: Before a customer or partner meeting, I’ll ask Nerve to summarize the last call, pull in any relevant emails and Slack threads, and list open questions or action items. I no longer dig through 5 different tools 10 minutes before a call.

• Competitive intelligence timelines: We created a “competitive feed” timeline that watches Gong, Slack, and a few key docs for mentions of competitors. Nerve compiles this into a digest so I can see what customers are saying, how deals are shifting, and where pricing or messaging is coming up.

• Weekly “what did I actually do?” summaries: I’m experimenting with using Nerve to answer “What did I work on this week?” It pulls from meetings, email, Slack, and docs to draft a Good/Bad/Neutral style update that I can quickly review and be critical about where I'm spending my time, my most critical resource.

• Turn calls into real outputs: When we run internal product or project huddles, we often end with obvious next steps: “Let’s write a PRD,” “Let’s create Jira tickets,” “Let’s draft a note for sales.” Once that call is recorded and shows up in our systems, Nerve is where I go to turn that raw conversation into structured tickets or documents.

What’s made this all stick is that the team behind Nerve actually listens and ships. We’ve given them pretty opinionated feedback (sometimes bluntly), and we’ve watched them:

• Fix UX paper cuts within days.

• Rework action items so they auto-resolve when I actually reply in email or Slack, instead of turning into an endless, noisy backlog.

• Improve timelines from overly long, source-by-source dumps to concise summaries with details available if you want them.

Is everything perfect? No product is. I’d love to see even more “agentic” workflows where it listens to my meetings or reviews notes (Granola-esque!) and proactively proposes tasks, tickets, or docs for me to confirm.

But at this point, for the way we work in product at OpenSpace, Nerve has crossed an important line: it’s not a toy, it’s infrastructure. If they turned it off tomorrow, my week would get noticeably worse.

If you’re in product (or lead a cross‑functional team) and your work lives across Slack, email, docs, Gong, and Jira, Nerve is one of the few AI tools I’ve tried that actually earns a permanent spot in that stack.

Happy to answer questions about how we’ve wired it into our workflows.

Congrats on the launch! What was the biggest technical challenge in building the engine that connects all these disparate apps and internal content?

Great idea! It would be very useful for me if AI could give recommendations on improving certain processes. For example, I write a task in Jira: "Connect Mailchimp for newsletters." The AI analyzes the task and understands that this is a personalized B2B newsletter, then gives a recommendation: "For personalized B2B newsletters it’s better to use Reply, where emails land in the primary inbox rather than the Promotions tab."

Is it easy to build this with AI? Of course!
Is it useful? It would be an absolute game-changer ;)

Love that Nerve is proactive instead of waiting for us to start a chat, especially for surfacing follow-ups and things that need attention. Which signal or trigger has turned out to be the most useful for those proactive alerts?

Hi everyone!

It’s hard to believe, but Transformers v4 was released back in November 2020. Think about that: v4 predates ChatGPT, Stable Diffusion, and the entire generative AI boom. Today, with 3M+ daily installs and 1.2B+ total downloads, it has become the undeniable "operating system" of modern AI.

v5 is a maturity milestone. While v4 was about exploding growth (from 40 to 400+ architectures), v5 is about standardization and interoperability.

Big shifts in this release:

• Interoperability is Key: v5 is built to play nice with the entire ecosystem—seamlessly connecting with vLLM, SGLang, and llama.cpp. You can even load GGUF files directly now.

• Production Ready: They introduced transformers serve, an OpenAI-compatible server for easy deployment and testing.

• Quantization First: No longer an afterthought. Low-precision formats (4-bit/8-bit) are now first-class citizens with cleaner APIs.

• PyTorch Focus: They are going all in on PyTorch as the primary backend to ensure peak performance, while maintaining compatibility with JAX/Flax.

For the community, Transformers remains the "Source of Truth" for model definitions. If a paper comes out, the code usually lands here first.

Huge congrats to the @Hugging Face team and the all the contributors who made this happen. The past 5 years have been unforgettable, and the next 5 look even more exciting!🔥

Love the vision behind Hugging Face—making open-source AI tools accessible and usable is huge.

From a clarity & conversion lens: when a developer or product team lands on the Hugging Face hub for the first time, what one belief are you aiming for them to take away in their first 10-15 seconds?
Is it:
• “I can build and deploy cutting-edge models without reinventing the stack.”
Or:
• “This community gives me control, not just usage.”
Because for infrastructure/SaaS tools, the biggest adoption hurdle isn’t always features—it’s the user’s belief that the tool will actually scale their product and workflow.
Curious how you’re designing that initial moment of clarity for first-time users.

Cool! Congratulations on the new launch. We’re also building an AI startup right now, but unfortunately, it’s not open-source yet :)

Oh wow this looks soo good! My design team is not gonna have a fun day I am sure of it haha.

This is a massive unlock for solo devs. I usually stare at my own designs until I lose all objectivity.

Really amazing. I loved it!

I love this! No more staring at your design, squinting while tilting your head left and right like it could magically fix it. Just drop a screenshot in Gleam and iterate. I'm a fan!

Interesting idea! I suggest a project development option: you upload a link to your project and it generates a series of audits—layout quality, SEO quality, design quality, etc. But full audits, with a report and recommendations. On the website, immediately show examples of such audits so the quality level is clear. I haven’t seen a project like this, but I’m sure it would be in demand. And Google queries for audits aren’t very competitive, so getting into the top 5 and receiving organic traffic wouldn’t be difficult.

The persona-based feedback is smart. Stops the AI from just saying "looks good" and actually forces a specific critique angle.

Very cool and valuable. Excited to use it!

The panel’s feedback is helpful and definitely gave me several ideas for what to improve next. Amazing job!

Love how Gleam frames social skills as a learnable muscle. From an onboarding & clarity lens: when someone opens Gleam for the first time, what’s the one belief you want them to walk away with in the first 10 seconds?
Is it “I can show up socially without freezing” or “I’m going to learn this just like I learned piano”?
Because in habit-tools for human behaviour, that first belief can make all the difference.

Your landing page is partly broken

Do you offer tracking, and also is there a way to detect if the mail has landed in spam?
Would love to try it

So the only thing this one better than Resend is the number of free emails?

Very cool product :)
Looking forward to trying it!

Nice project, @bittucreator! It’s much-needed. I also love the simple and clean UI. Congratulations on a successful launch!

Do you have any plans for a PHP/Laravel package or library that can be used to send emails using UnoSend?

Well done Venkat. Unosend is clean and practical. Congrats to you and the team.

pricing feels fair, especially for small projects that still need professional delivery.

landing page looks pretty wack on darkmode firefox.

as a paying resend user, why should i switch to unosend?

How does deliverability compare to Resend? Are you likely to end up in spam for gmail or outlook? Additionally, do you have any protection in place to prevent people abusing the service, and then get the other people using the service to be marked as spam?

@bittucreator I will definitely give unosend a try!

My recommendation would be to change up the UI a little, it feels like a clone of resend (which I currently use) and I think that could hurt the trust of customers who already know Resend.

For me Amazon is unfortunately a bit slow in the AI race and just trying to catch up with others. I also personally don't like the Nova models of Amazon. But at least they are trying hard here to get our attention, so I will try it out and maybe give my opinion about the Nova Act here on PH soon

I wonder, how does this compare to other RPA tools that mostly rely on click recordings?

Impressive launch, Nova Act team. From a clarity lens: when a developer opens the SDK for the first time, what’s the one belief you want them to hold in the first 10-15 seconds?
Is it “I can reliably automate browser workflows without brittle scripts” or “I have control of an agent that acts like a human user, not just a bot”?
Because in agent-automation tools, the biggest barrier isn’t necessarily tech capability—it’s the user’s belief that the tool will actually work at scale.

Congrats on the launch!

I love the concept and great timing on bringing it on here one day after the wrapped came out of Spotify 🤣, but i do believe that for us to understand what's to come, it's very important to revisit the past, and i love how you're product helps the users do a context dive. All love, wish you the best.

I am curious tho, what parameters are you reading the delta for?

Congrats on the launch. Many journaling apps struggle because reflection still feels like a task. From an onboarding & retention perspective, what’s the moment when a user actually feels the reset, not just sees the prompts? That feeling is usually what drives long-term use.

Hey Product Hunt! 👋 I'm Adit, founder of TypMo. In the age of AI coding tools, I noticed a problem: we're spending significant time and money prompting without structural clarity. The wireframing stage is where experimentation should happen, it's fast, cheap, and low-risk. So I built TypMo—where wireframes become implementation prompts.
It's Markdown for wireframes, a simple text syntax using design vocabulary you already know. No learning curve. Just type and see your UI render instantly.

With TypMo you can:

• Generate wireframes from prompts, sketches, or PRDs

• Run IA/UX audits on your structure

• Iterate on hierarchy, flows, and components freely

• Export implementation prompts when you're ready
  

That's where TypMo lives - the cheap zone where messy ideas become organized, prompt-ready structure. Experiment freely, validate fast, then let AI build exactly what you need, the first time.

Clarity before code. Wireframe first, prompt with precision.

I would love to have your feedback! Thank you!!

Sounds really interesting! How is the business model behind?

Translating wireframes into UI prompts – I really like the thinking and agree with the problem this is trying to solve. I will definitely give it a try!

Congratulation @aditgupta Love the “Markdown for wireframes” idea - that’s a super clean mental model.
How well does TypMo handle complex multi-screen flows?

Very unique and convenient. Check if I understand it correctly, we need to write our structure and it designs a wireframe and the output is the prompt that we can feed into cursor?

Need more gamification and completely block the app without continue button

I'm interested in digital detox, I even tried using a flip phone but nothing really worked for me.
Curious how this will hold up to my impulsive scrolling 👀

This is a super nice app.

Excellent launch, ScreenBreak team. From a clarity & onboarding lens: when a user tries to open a blocked app for the first time, what’s the one belief you want them to walk away with after the mini-game unlock?
Is it:
• “I opened this intentionally—not out of habit.”
Or:
• “I now control this device—it doesn’t control me.”
Because in habit-breaking tools, the win isn’t just blocking usage—it’s changing a moment of unconscious behavior into a moment of conscious choice.

I am a huge fan of these digital detox apps and as someone who damaged eyesight by staring to the screen most of time, find this pretty helpful :)

This is a really smart approach to the scrolling problem. 🧠 Hard blockers usually just make me angry (and I end up disabling them), but adding 'Friction Cost' via physical effort is a much better psychological hack to break the dopamine loop. Congrats on the launch!

Great Release! The app looks nice. I'm going to try it. Did you test if it actually helps to reduce screentime with a user group? If yes, what are the results?

Thank you all so much for the incredible support and for every upvote!
This launch turned out to be a great success, and I’m truly grateful for it. I really hope the app will find its audience and become a helpful tool for many of you.

If you enjoy using it, I’d truly appreciate it if you recommended it to your friends or colleagues.
Your support means a lot — thank you! Pavel

Congrats on the launch! Turning PlantUML Gantt charts into a visual click-and-generate workflow is such a smart way to remove the friction of remembering syntax.

Are you thinking about adding any kind of quick collaboration (like sharing a plan with a teammate) later on? Could be super handy.

Congrats on the launch! 🚀

Great launch! With a tool like GanttTool, when a team opens it for the first time, what’s the one belief you want them to walk away with in the first 10 seconds?
Is it “I finally see how all my tasks link, and I’m in control” or “I can manage dependencies without drowning in spreadsheets”?
Because for timeline tools, the moment users see clarity is often more important than the number of features.