PH热榜 | 2026-03-14

Hey Product Hunt! I’m Amanda, maker at Agent 37 the easiest way to launch your own OpenClaw AI agent instance without server headaches.

If you’ve ever tried building AI agents that handle real tasks like emailing from Gmail, posting to Slack, or running scripts, you know the pain: hours (or days) wrestling with VPS setup, Docker installs, SSL certs, and API configs. We cut that to 60 seconds flat.

How It Works

Pick a plan and checkout. In 60 seconds, you get a private container with full web dashboard, TTYD terminal access, and 850+ apps pre-connected (Gmail, Slack, Notion). Bring your Claude/OpenAI keys and start building agents immediately.

Key Features

• Live monitoring and chat interventions from browser

• No Docker/SSL/API config—everything pre-wired

• Scales from solo testing to production workflows

• Secure isolation on shared infrastructure

Why Different

Traditional VPS setup takes 105+ minutes of Docker installs and cert fiddling. We handle infrastructure completely you just build and automate.

Try agent37.com and tell us: what’s your first automation? Drop feedback or questions below, we’re here to answer everything!

Curious how the platform handles scaling if someone starts running heavier workloads or multiple agents.

The pricing-to-value ratio here is hard to beat. As someone building an AI-powered SaaS myself, I know how much time goes into infrastructure setup before you even write a line of agent logic. The 850+ pre-connected integrations is what stands out to me; that's usually where the real friction lives, not just the container setup but wiring everything together.

Quick question: for agents that need to run on a schedule (like pulling data from an API every hour and processing it), is there a built-in cron/scheduler, or would you set that up yourself inside the terminal?

As a non-tech guy, this is exactly what people like me need. I also like the approach: "95 spots left at $3.99/mo then $9.99/mo for new signups", I see what you did here ;) . If Agent 37 would be a stock, I would buy it right away. Good luck to the team.

Cutting the VPS-to-running-agent setup from 105 minutes to 60 seconds removes the exact friction that kills most automation side projects before they produce any value. At $3.99/mo with 1 vCPU and 4GB RAM, what happens when an agent workflow spikes — is there burst capacity, or does the container hard-cap and queue tasks?

Love these types of clearly super useful projects, Best of luck!

Love the idea of removing all the DevOps friction from running AI agents. The $3.99/mo price point is impressive for a dedicated container with full terminal access.

Curious about data persistence — if I'm running a background workflow that builds up state over time (like a market scanner), does the container's storage persist across restarts, and is there a storage limit?

Just booked a spot. Congrats on launching, very promising product. Good luck, team.

$3.99 for a managed container with terminal access is wild. Honest question what's the uptime been looking like so far, and is there a story for when someone outgrows the 1 vCPU / 4GB setup? That's usually where cheap hosting falls apart

Hosting open-source agent frameworks usually means babysitting Docker containers and dreading AWS bills, so getting an OpenClaw instance down to a flat $3.99 monthly is a massive win. I am genuinely curious how you are managing the compute overhead on the backend without bleeding cash at that tier. This seems perfect for spinning up a quick background scraper for data pipelines without touching any infrastructure code.

Interesting pricing. $3.99 for a managed OpenClaw instance sounds pretty accessible for developers who want to experiment without managing infrastructure. Curious how you're handling scaling and resource isolation as usage grows.

This looks like a very promising product! I hope it does really well.

Hey Hunters!

We're Deepan and Nimesh, co-founders of Struct. Today we're excited to launch the on-call agent every team deserves -- for free!

If you've been on-call, you know the drill: alert fires, you open Datadog (or Grafana, or whatever), hunt for spikes, grep through logs and code, loop in a senior engineer...rinse & repeat. Meanwhile, noisy alerts never get tuned and customer issues slip through.

Struct gets you from alert → root cause before you even open your laptop.

Within minutes of an alert firing, Struct:

✅ Pulls relevant metrics, logs, traces, monitors, and code

✅ Does a regression analysis and correlates anomalies and spikes

✅ Replies with with a root cause, impact summary, and pattern analysis

✅ Drafts a full incident report with dynamically generated charts, timelines, and commit histories

Dive deeper in Slack or our app. Or handoff the full context to your favorite coding agent to ship a fix in one-click.

We built Struct for lean teams without an SRE, and orgs going all-in on AI dev workflows — companies like FERMAT and Arcana already use Struct to auto-investigate thousands of alerts monthly and give every engineer the context to handle incidents on their own.

Five minute set up, integrates with every leading observability platform plus Slack, GitHub, Linear, Claude Code, and fully SOC 2 Type II and HIPAA compliant.

Get started free at struct.ai — no credit card required.

Questions? Hit us in the comments - we'll be around all day. Or shoot us an email at founders@struct.ai.

And as a special thanks to the Product Hunt community, if you upgrade to a paid plan, use promo code HUNTSTRUCT for 20% off for the next 3 months! 🔥

Alert fatigue is the thing nobody warns you about until you're waking up at 4 am to a page that turns out to be nothing. If this can automatically trace an alert back to its root cause, that saves hours of digging through logs and dashboards. I've had incidents where the alert fired on a symptom three layers removed from the actual problem. How does it handle cases where the root cause is outside your codebase, like a third-party API degradation or a DNS issue?

Great team!! I still remember the all-nighters we pulled dealing with both sides of the problem: noisy alerts and critical ones getting missed and escalated by customers. Using Struct has been a game changer!

Would love to hear more on the roadmap ahead though @nimeshmc @deepan_m

Amazing team!

We signed up with them early on and have been a fan since. It's a game changer in terms, helps team ship fixes instantly and reduces the nightmare that on-call is

This is awesome! It would be great to manage my Sentry anxiety and take work off my plate. Are you all mostly for enterprise or does it work for small teams, too?

Really great team and product! We’ve been working with them through beta and it’s been an incredible experience. Huge congrats on the launch!!!

The gap between "alert fires" and "engineer understands what actually broke" is where most incident response time gets wasted — correlating metrics, logs, and traces across services is exactly the kind of tedious cross-referencing that AI should handle. The one-click handoff to a coding agent to ship the fix is a compelling end-to-end vision — how well does that work today for non-trivial root causes that span multiple services?

killer team, super excited to see what they do!

This is awesome!! Congrats on the amazing launch.

Huge launch, incredible product. Amazing work guys.

We have been using Struct at Lekondo and its ability to understand the codebase and find actual bugs based on errors and alerts has been really impressive!

Congrats @deepan_m and @nimeshmc! We've been piloting Struct for the past couple months. It's been fun working alongside them and watching the product transform.

I wish I had this years ago! Congrats on the launch guys, this will be an incredibly useful tool for teams of all sizes. Excited to see where you take it.

Congrats on the launch - we are very happy users !

Excited for this launch, we've been in Structs alpha, very impressed with Nimesh and Deepan, and Struct's capabilities. Its now my go to to triage alerts that are complex and stateful. Its a key piece of our infrastructure at Fermat as shipping velocity increases rapidly with coding agents.

Great product that we’re really enjoying using. Congrats on the launch!!

I'm a software developer who works with AI. Could you give me a specific example of how your software could help me? I've read through your site, but I don't quite understand what exactly you do.

Does Struct actually build a dependency graph across your infra or just pattern-match on the alert text? I've got microservices that can fail in three different systems depending on the blast radius, and I'm curious if it traces downstream impacts or just points to the loudest screaming dashboard.

As someone who runs a production SaaS on Render with Sentry for error tracking, the alert-to-root-cause gap is real. I've spent more time correlating Sentry exceptions with Render logs and Supabase query patterns than I'd like to admit.

The fact that it drafts incident reports with timelines and commit histories is the part that caught my attention. That's usually the thing that gets skipped because everyone's too relieved the fire is out.

Does it work with Sentry as an observability source, or is it primarily geared toward Datadog/Grafana-style platforms?

Congrats on your launch guys! Can you share any creative ways you've seen teams get value from Struct, or ways that surprised you?

Congrats on the launch! Curious how you'd position this vs the AI SRE features that observability platforms are starting to bake in natively (e.g. Better Stack's AI incident summaries). The key difference I'm guessing is that those are limited to the data within their own platform, while Struct can pull from logs + metrics + traces + code across multiple tools and actually trace the root cause end to end?

If that's the case, the composability angle is the real moat here, most real-world incidents span 3-4 tools and no single vendor sees the full picture. Nice work!

This is exactly what on-call engineers need. The gap between "alert fires" and "understanding what actually broke" is where most incident response time gets wasted, and automating that correlation across logs, metrics, and traces is a huge win.

How does Struct handle alert deduplication when multiple monitors fire for the same underlying issue? Does it group them into a single investigation automatically?

As Struct users, can confirm this saves us tons of time for bug fixes that come up. Super nice that it lets you customize all of your pre/post checkout hooks so that it works with all of your pre-commit hooks, making it provide super high quality PRs

The "press fn and speak" approach with no tab switching addresses the core productivity killer for knowledge workers — context switching between tools costs far more than the actual task execution. Replying to emails 12x faster via voice is a bold claim — does Lemon match your writing tone from previous emails, or does it need manual style training to avoid sounding robotic?

been using it for almost 2 weeks and this is one of the most unique AI products i've used. kind of like siri if it actually worked. best for writing and searching things quickly.

Been using this for a week now. The context switching used to kill half my day, jumping between tabs just to do things I could describe out loud in 10 seconds. This actually closes the gap between speaking and tasks getting done. Not going back.

there are a lot of different AI voice tools out there but this one is the best for responding to emails and messages

Nice video! AI produced?

It's OpenClaw with key for recording voice? or? Congrats on the launch!

Once you start using Lemon it’s hard to go back. I used to write/edit all my work in Claude and then copy it to another window. I was switching tabs hundreds of times a day without really thinking about it. Lemon eliminates that entirely. Trying Lemon for the first time really felt like a ChatGPT or iPhone moment.

changed all my workflows and productivity within days. Big fan.

Think + Write + Search with just FN.

Check it out at heylemon.ai

Heym kudos to you and your team. A quick q; how do you handle voice command accuracy in noisy environments or with technical jargon? Any training tips for knowledge workers to hit that flow state faster?

Hey love this project and absolutely love the user experience especially on Mac. I'm not sure how Windows feel, but as someone who's been in development for twenty plus years and has a good sense all round. You guys have done an excellent job. So kudos for that and congratulations on the launch. Some questions if I may. There is no sign of any pricing. How does it work? Since it has pretty much access to everything on my computer, I would like to learn more about privacy and security.

Voice very popular these days. Might check what you are doing for a bit tomorrow.

I’ve been using Lemon for the past two weeks as a marketer, and it’s become surprisingly useful in my daily workflow. A lot of my work involves writing ad copy, brainstorming angles, summarizing research, and drafting quick responses, and Lemon makes that much faster. Being able to just press the fn key, say what I want, and instantly get structured output without switching tabs feels really natural. It’s helped me stay in flow while working instead of constantly jumping between tools.

What's the minimum system requirement for Mac ? Not working on mine

Are different languages supported?

Where is the Pricing information? Thank you.

The Fn key as a universal trigger is a smart design choice. Most voice tools force you to switch context just to activate them, which defeats the purpose. Keeping it at the OS level means it actually fits into a real workflow instead of interrupting it.

Curious about the email reply speed claim (12x faster): is that based on actual user benchmarks, or is it a rough estimate? Also, does it work with any email client or specific ones like Gmail/Outlook?

been using this for a while. this is actually one of the most practical AI app out there. literally can't live without it any more

I'm actually leaving this review using Lemon. Been using it for about the last two and a half weeks and definitely saved a lot of time. All the time, going between tabs, typing, and maybe copying and pasting the problems from my CLI terminal over into my Claude chat. So, so far, I'm impressed and look forward to using it in the future.

Impressive, congrats!

Do you plan to add multi-language support?

Congrats! Context switching is genuinely one of the biggest focus killers. Does it work across any app or do you need to set up integrations per tool?

I like the focus on active learning. Many AI tools make it easy to get information quickly, but they don’t always help with long-term knowledge retention.

Using Socratic questioning instead of giving direct answers flips the typical AI learning interaction — most tools optimize for speed, but real retention comes from the struggle of working through a concept yourself. The Feynman Tutor mode where the AI probes understanding gaps is especially interesting — does it track which concepts a user consistently struggles with across sessions to build a long-term weakness map?

The Feynman Tutor mode is the standout feature here. Most AI learning tools reward you for asking good questions, but the real test of understanding is whether you can explain something back clearly. Flipping that dynamic so the AI challenges your explanation instead of just handing you one is a much harder problem to solve well.

I'm curious about the knowledge products feature. When it generates a study guide or memo from a learning session, does it capture the progression of your understanding (including the wrong assumptions you corrected along the way), or is it more of a clean summary of the final correct concepts?

The Feynman Tutor mode is really clever. Most AI learning tools just dump information on you, but forcing users to explain concepts back and then probing the gaps is how real understanding gets built.

I'm curious about the knowledge products feature. When Socra turns a learning session into a study guide, does it also capture the wrong assumptions the user had along the way? That context of "what I thought vs what's actually true" is often the most valuable part of learning.

This is a really interesting product, congrats! I actually wanted to ask what inspired you to build this, then I saw you explained it in the first comment. Onwards and upwards 🔥

Congrats on the launch! Love the concept. I literally did a Socratic deep-dive session with Claude yesterday and it's crazy how much better you retain stuff when the AI asks you questions instead of just dumping answers.

Honest question though, what's the delta here vs just prompting an LLM with "act as a Socratic tutor, ask me probing questions about X"? Because for a single session that already works surprisingly well.

I'm guessing the real value is the structured layer on top, tracking what you've understood across sessions, adapting difficulty over time, turning conversations into persistent knowledge instead of something that disappears when you close the tab. Would love to hear more about how that works under the hood.

Congrats on the Socra launch, @peng_wood!

I just visited the homepage. There's a massive logic gap in your 30-second demo. For a tool built on deep mastery, that example is way too easy. It makes the engine look like a basic chatbot.

You're hiding the real power of Socra behind a weak demo. I've got a sharp thought on how to fix this.

Wow Wood! Socra sounds super cool thinking on structured data and tutoring pple through a simple conversation. How do you think to monetize it?

Congrats on the launch!

I like the focus on moving from curiosity to real understanding through dialogue. Most AI tools optimize for quick answers, but the Socratic approach encourages people to think, question, and build knowledge step by step. Curious to see how people use Socra in practice.

Congratulations

This looks great and very important! Thanks for sharing

Nice, congrats on the launch and the product! Really like how you spotted a problem and directly created a solution. Gotta share this with a few devs I know, they will most probably appreciate the clean approach.

Sometimes you just want a tool without logins and complicated setup. This looks exactly like that 😊

Congratulations on the launch! Really love the minimalist approach, it's refreshing to see a dev tool that just works without all the bloat.

Quick question: does it support custom card decks beyond the standard Fibonacci sequence? Some teams prefer T-shirt sizes or custom scales for different types of estimation.

Congrats on the launch, @kevinpainchaud . I like the minimalist interface. Your focus on privacy is great.

I noticed one small thing on the page. You mention it is for teams who value speed. Right now the text focuses on the card game. It might miss the busy lead who just wants to save time.

Rooting for you.

No signup, no ads, instant session you just described every dev's dream estimation tool. Are you thinking about adding async voting for distributed teams across time zones, or keeping it strictly real-time? That'd be a real differentiator.

Interesting idea. Removing account creation is actually a smart move — most tools add unnecessary friction.

how do you handle session persistence or team collaboration if users don’t sign up?

I’m currently building Zuppibuy, a local classifieds platform, so I’m always interested in products that reduce friction in user onboarding.

It has beuatiful minimalistic design :) Like it :)

No account, no ads, no tracking — this is exactly how developer tools should work, and the fact that you stripped it to the essentials instead of adding features is a design decision most makers struggle to commit to. One small feature that could be valuable: a quick "estimation history" export per session so the team can paste results into Jira or Linear without manual copying — would that fit the minimalist philosophy?

Hey everyone, I'm Mawuli, the creator of Tellus.

My dad is 73. He's lived an extraordinary life. Born in Ghana, fluent in Russian, witnessed Princess Diana en route to the royal wedding, built a bank from scratch. He always wanted a memoir. But he's not keen to type, so it never happened.

So I built the first version of Tellus for him. He talks, and it writes.

I now know so much more about my own father than I ever did. And most of the anxiety I had around losing him someday is gone, because I have his voice and his stories with me forever.

Then his grandkids, my nieces, wanted in. So we built a way to turn his memories into illustrated children's storybooks. Now they get to know their granddad at bedtime.

That's the three-generation problem. Grandparents have extraordinary stories. Grandchildren would love them. But the adult in the middle can't make the connection happen. There's no format for it. Journals stay blank. Recorders feel like interviews. Video is intimidating. So the stories quietly disappear.

Tellus fixes that. Each voice recording becomes a polished memoir chapter and an illustrated kids' storybook. One for their legacy, one for bedtime.

It's free to try. I'd love your feedback: what works, what's missing, what would make you actually use this every week.

This one means a lot to me.

Mawuli

My paternal grandparents passed before I ever thought to ask about their lives. Where they grew up, what made them laugh, the hardships they carried quietly. Those stories are just gone. That void is exactly why I believe so deeply in what Tellus is doing.

I've had a front row seat watching this thing get built from the ground up. The late nights, the pivots, the moments of doubt and then breakthrough. Being by his side through all of it made me realise how personal this mission truly is.

All a grandparent (or parent) has to do is speak. No writing, no technology stress, just talking. And their voice, their memories, their legacy gets preserved for the grandkids who will one day desperately want to know who they were. Don't wait until it's too late.

So proud of you my love. Excited for the next chapter of this 💛

Congrats on the launch, @nzieber. I think your Just Talking approach is the winner.

I noticed one thing on the page. Your text focuses on the bedtime story. That is the joy. But the real driver here is the fear of losing these memories. I think if you hit that "Cost of Inaction" harder in the hero section, your signups will jump.

I hope this hits the top spot today.

This is such a refreshingly human use of AI! I’ve watched Mawuli pour his heart into this project and I can’t wait to onboard my grandma and start collecting her stories.

The three-generation gap framing is spot on — grandparents have the stories, grandchildren want them, but the format never existed to bridge that naturally. Turning voice recordings into both a memoir chapter and an illustrated bedtime storybook from the same session is a beautiful two-output approach. How does the AI handle stories told in multiple languages or with cultural context that might not translate directly?

This is exactly the startup idea i would love to build few years back.. but no problem, I will recommend this product to someone in kids group. (lol I'm your secret target audience group anyways at 29 :P)

Tellus is truly deep. Rare to see technology capture such a human experience, I have been using it for quite a while and super excited about sharing it with more people!

The fact that it turns voice recordings into illustrated storybooks is such a smart move — way more approachable than asking grandparents to sit down and write. My grandma had the best stories but never would have written them down. This solves that perfectly.

Imagine we lose access to logged account / mail, how do you ensure that we will preserve all these memories?Congrats on the launch!

Hi everyone 👋

I'm @ybouane the creator of OpenMolt, the 4th project I'm launching on 2026! (Feel free to follow my build in public journey on X)

I started building it because most AI agent tools I tried were designed primarily as chat assistants. That works well for personal workflows, but it becomes harder to use them inside real applications.

For example, imagine a SaaS backend receiving a request like:

POST /generate-report

Instead of running a fixed pipeline, an agent could decide how to complete the task:

• gather data

• call APIs

• generate outputs

• update systems

That’s the idea behind OpenMolt.

It’s an open-source framework for programmatic AI agents in Node.js, where agents are defined directly in code with:

• instructions

• tools

• integrations

• memory

When triggered, the agent runs a planning + execution loop, deciding which tools to use to complete the task.

Some current features:

• tool and API integrations

• short-term and long-term memory

• scheduling

• CLI runner

• capability-based permissions (agents only access the tools you explicitly allow)

The goal is to make AI agents behave more like software systems than prompt scripts.

OpenMolt is still early, and I’m really interested in hearing from developers:

• Would you use agents like this inside a backend or SaaS product?

• What integrations or capabilities would you expect?

Happy to answer any questions or dive deeper into the architecture.

Thanks for checking it out 🙏

Code-first agent definition in Node.js is the right call. Most agent frameworks add abstraction layers that make simple things easy but complex things impossible. Being able to define tools, memory, and permissions directly in your codebase means you can version control your agents the same way you version control everything else.

The capability-based permissions model is what separates this from "just call an LLM with tools." Giving an agent access to your database without scoping exactly what it can touch is a non-starter in production.

Question: for the planning + execution loop, how does it handle cases where the plan becomes invalid mid-execution? For example, if step 2 of a 4-step plan fails and the fallback changes what step 3 should be, does the agent re-plan from scratch or patch the existing plan?

The tension between "code-first" and "no-code" positioning is fascinating and feels like you're carving out a middle ground for technical users who want control without rebuilding from scratch. Open-source in the agent space is still rare enough to be differentiating but curious how you're thinking about commercial sustainability. Are you targeting self-hosted enterprise deployments or building managed services on top? MENA markets especially struggle with vendor lock-in on Western platforms, so portability could be a huge unlock.

Treating AI agents as backend services triggered by API endpoints rather than chat interfaces is the right abstraction for production use — most real-world automation needs to run headless without a human in the loop. The capability-based permissions model is a smart safety default — does OpenMolt support scoping agent permissions dynamically per request, or are they fixed at agent definition time?

Really glad someone built this as open source. I've been stitching together LangGraph + FastAPI for agent-powered endpoints and it's messy. The permission scoping per agent is a nice touch — I learned the hard way that giving an agent full filesystem access "just for testing" is a terrible idea lol. One thing I'd want to know: how does memory persistence work between restarts? Like if I deploy this on a basic VPS, does the agent remember previous runs or do I need to wire up my own storage?

Treating AI agents as backend services rather than chat interfaces is the right abstraction for production use. Most real automation needs to run headless without a human in the loop, and the fact that you can trigger agents from API endpoints makes this immediately useful for SaaS backends.

The capability-based permissions model is a nice touch for security. Can you scope permissions per-request, or are they fixed at agent definition time? Being able to dynamically restrict what an agent can access based on the incoming request context would be a big win for multi-tenant setups.

Hi! I've been running a few side-projects ("startups") for some time, even way after they stop receiving any traffic. This is costly and depending on the project it could be a few bucks a month, or a surprise bill after bot traffic, a DDoS attack, etc.

In my case it was StoryScapeAI.app (the domain was supposed to have expired already, but I forgot to disable auto-renewal 🤦). Last traffic was sometime in 2024, and I was still paying for an always-on database instance.

I had to shut it down (I didn't) to save some money, but I also wanted to showcase it on my personal site (portfolio), since it's a "recent" project and the first one with actual users and revenue.

That's why I built Startup Archive: to take one last snapshot before shutting it down and moving on to the next one.

You can easily embed your archived project on your site. It supports different frames, light and dark mode screenshots, and auto-scrolling.

Give it a try! You can archive one startup for free with the above discount code :)

Every indie developer has that graveyard of side projects still silently burning hosting costs because shutting them down feels like admitting defeat — this reframes the shutdown as a proper archival moment instead. The embeddable portfolio snapshot is the key feature that makes this actionable rather than just sentimental. Would be great to see a "startup graveyard" public gallery where makers can share their archived projects and the lessons learned.

Ha, I literally have a project sitting in docker compose down on my server for months because I can't bring myself to delete it. Still paying for the disk space. The portfolio embed is what makes this more than just a screenshot tool — it's actually a reason to finally pull the plug. Can it capture multiple pages or just the landing page? Some of my dead projects had cool inner pages that I'd want to show off too.

Nice one! I will share it with a few builders. Everyone wants to keep their projects visible somehow, and indeed, sometimes this might not be worth the cost if they are only consuming resources.

Congrats on the product and the launch 🔥

Man, I was just looking at your homepage, @abpxa_. The way you show those ghost server costs is too real. I’ve definitely paid for domains and databases I forgot were even running just because I didn't want to lose the work.

The interactive frame you built for the snapshots looks clean. Huge upvote for this!👏

This hits close. I know at least two founders who continue paying $50- $ 100/month in hosting for a project with no traffic because they haven't shut it down. Letting go of something you built is harder than it sounds. What does "archive" look like in practice? Is it a static snapshot of the site, or does it preserve any functionality? And what happens if you want to bring it back live — is the reverse process straightforward?

That's actually a really cool idea. Everyone is taking their shot and showcasing what you learned building something, even if it didn't blow up is nice.

Hey 👋

We just added a new product with a multi-AI view: AI Website Redesign.

Paste a URL and see how leading AI models redesign it in real time.

The first users use it for:
✅ Redesigning outdated sites
✅ Pitching redesigns to clients
✅ Generating design inspiration

At the moment, it supports Claude Opus 4.6, GPT 5.4, Gemini 3.1, and Kimi 2.5

Share your prompts & results (each has a unique link), and we’ll post the best ones in example sections!

Congrats on the launch, @dawid_andrzejewski.

The parallel model approach is amazing. It is rare to see Claude and GPT working side-by-side like this.

I noticed a strategic risk on the page. You are selling More Options. However, for a business owner, more options usually means more indecision. I think your messaging misses a huge opportunity to talk about Selection Logic. If you show them how to pick the version that drives the most revenue, your retention will stay high.

I want to see this tool win.

Interesting idea comparing multiple AI redesigns side-by-side. Seeing different model outputs for the same site could actually make design decisions much easier. Curious which models perform best for real-world websites.

Incredible ! and very generous free tier (I'm not affiliated, I just enjoyed using it)

I pasted one of my pages just to test it out and man... it was surprisingly useful when I saw multiple AI redesigns side by side. It's definitely a good way to quickly explore different design directions.

Great idea! Watching multiple AI models redesign a website side-by-side is a powerful way to compare creativity and choose the best design. AI Website Redesign by Shuffle could make web design faster and smarter.

Sounds interesting. Are you limited to some specific CMS, no-code website builders and frameworks, or its technology agnostic?

Running Claude, GPT, Gemini, and Kimi side-by-side on the same URL turns model comparison from an abstract benchmark into something designers can actually evaluate visually in context. The client pitch use case is the killer angle here — showing three redesign directions generated in minutes beats spending a week on speculative mockups. Can you export the generated designs as editable code, or is it primarily for visual inspiration?

Hey Product Hunt! 👋 I'm Filippo (@FiloPietra), co-founder of Rainfrog.

A few weeks ago we launched Rainfrog, born directly from the daily workflow at my brother/co-founder's digital design agency, Pezzo di Studio (pezzodistudio.com)—where we craft fashion campaigns, 3D art, and digital experiences for brands every day.

We kept hitting the same bottlenecks: clients wanted fast, consistent, on-brand visuals for fashion shootings, product placements, UGC, e-comm drops, and full campaigns... but constant prompt engineering killed speed and "taste." AI tools gave pretty images, but rarely the exact directional control or coherence brands need.

So we engineered the taste and consistency into the backend. Now with Rainfrog, you just upload your assets (characters, products, etc.), mix & match elements in a node-based system—characters + outfits + environments + styles—no prompts required.

Get photoshoot-ready, campaign-grade visuals in seconds, every time aligned to your vision.
Built for fashion brands, creators, marketers, and agencies who want pro results without the AI headache.

Sign up here 👉 https://www.rainfrog.ai and use code PHFROG-50 to get 50% off your first month of Pro 😍

Since we've been live a bit, we'd love fresh eyes: Does this solve your real workflow pains? What's the first campaign or UGC you'd build? Feedback on speed/consistency/taste?

Upvote if it clicks, drop a comment—I'll reply to all! 🚀

Thanks for hunting, let's make fashion visuals effortless. 🌟

i like how it focusus on real campaign work like UGC, product shots, and interiors. That’s exactly where fast visuals are needed the most.

The node-based mix-and-match system for combining characters, products, and environments without prompt engineering solves the biggest pain point in AI-generated campaign visuals — consistency across a series of images. Born from an actual design agency workflow gives this real credibility over tools built by pure technologists. How does Rainfrog handle brand guidelines — can you lock specific colors, typography rules, or composition styles as constraints?

Born from an actual agency workflow -that's the part that gives me confidence. How many images can you generate in a single campaign batch while keeping the visual consistency?

Nice launch!

How does Rainfrog maintain visual consistency across campaign assets when combining different characters, products, and environments? Is there a style-locking or reference conditioning system behind the scenes?

Hey PH!

Over the past year I shipped a dozen iOS and visionOS apps and the messy part is not the code but everything that comes after: future release plans, App Store events, featuring nominations, blog drafts, Product Hunt launches, you know the drill.

I wanted to build a place where everything - from bug fixes to midnight ideas - could live, overlay the calendar, and sync with App Store Connect. I didn't care for sprints, story points, or collaboration features. Just needed a tool to ship my apps more efficiently. We need more developer tools built by indie devs who actually understand the pain of shipping, so Docket is my contribution to that ecosystem.

What makes it different from Trello et al: it connects to ASC directly, has a CLI and MCP server so @Claude Code and other AI tools can manage your tasks from the terminal, and tracks launch content (PH posts, HN threads, blog posts) alongside releases. Free for your first project, 40% off Pro for launch week.

What's the messiest part of your shipping workflow?

The MCP + Claude Code combo is what got me here honestly. I already live in the terminal for most of my dev work and switching to a board app just to move a card always felt like wasted time. Does the CLI let you set priorities or tags when creating tasks? Would be nice to have Claude auto-tag stuff as bug/feature while I'm in the middle of coding.

The ASC sync is what makes this interesting. For my current launch I'm juggling App Store submission, ASA setup, PH prep, and Reddit posts across Notes, App Store Connect, and random text files. Having that in one place tied to the actual release timeline would save a lot of context switching.

To answer your question: the messiest part for me is coordinating the marketing side with the technical side. The app can be ready but the screenshots, store description, and launch posts are always trailing behind on a separate track with no connection to the build status.

When building and shipping is instant, isn't Docket future a pit stop for agents to coordinate and be organized? Congrats on the launch!

How does Docket coordinate tasks created by AI agents via the MCP server or CLI with manual edits from the UI, and how do you prevent conflicts or duplicate updates in the task state?

Good luck today!

The App Store Connect sync is the feature that separates this from yet another task board — indie iOS devs juggling release notes, featuring nominations, and marketing timelines across separate tools is a real workflow mess. Having Claude Code manage tasks via MCP directly from the terminal closes the loop between coding and project management without context switching. Does the calendar overlay show ASC events alongside your custom milestones in a unified timeline view?

The i+1 comprehensibility approach is exactly right. Finding content that's slightly above your level is the hardest part of language learning, and the fact that you track vocabulary to dynamically adjust the difficulty is a huge differentiator from static graded readers.

Really cool that this came out of real experience with xianxia webnovels! What genres are available right now, and do users have any control over the story themes they get? Being able to choose between sci-fi, slice of life, or something like the AmITheJerk style would keep reading sessions really engaging.

The i+1 content gap is so real. You hit a point where textbook dialogues are boring but real books/shows are still overwhelming. Stories at your level is honestly the missing piece for most language learners — glad someone is finally building for this specifically.

Are any other languages available?

The local-first, privacy-focused approach is the right call for a browser extension with this level of access — users will rightfully be cautious about giving an extension permission to read and modify all their tabs. The dashboard and presentation generation from prompts is an interesting angle that goes beyond typical browser automation into actual content creation. How does the prompt enhancer work — does it analyze the target AI tool's strengths and tailor the prompt accordingly?

The stories that it generated are pretty solid.

Excellent app. My kids loved the stories it generated.

Pretty cool 🙌

Hey Product Hunt! I’m Robin, founder of Gramms.

Here’s the problem that made me build this: bedtime has become screen time. Parents hand kids a tablet, YouTube autoplay takes over, and 20 minutes later they’re watching unboxing videos or something weirdly age-inappropriate that slipped through the algorithm. Nobody feels great about it — but after a long day, what’s the alternative?

 Gramms is that alternative.

You add your child’s name, age, and interests. Create your own story (or let AI surprise you). In about 60 seconds, Gramms generates an original bedtime story, creates unique cover art, and narrates it in a warm, emotive voice — all personalized to YOUR kid.

 Then you put the phone down. It’s screen-free by design — background audio, like a podcast for bedtime. No animations, no tapping, no algorithmic rabbit holes. Just a voice telling your child’s story.

 What makes it safe for kids:
 • Every story is generated with strict age-appropriate guardrails — no violence, no scary content, nothing a parent wouldn’t read aloud themselves
 • Content is tuned to the child’s actual age (a story for a 3-year-old reads very differently from one for a 9-year-old)
 • No ads, no in-app social features, no user-generated content. Just stories
 • No data shared with third parties without explicit parental consent

And the feature I’m most excited about: voice cloning. A grandparent (or anyone really!) records ~30 seconds of speech, and their actual voice narrates every story after that. For families where grandparents live far away — or are no longer around — it’s something really special.

 Free: 3 stories/week. Premium: unlimited + voice cloning.

Would love feedback from parents, grandparents, and anyone who’s ever felt guilty about handing a kid a screen at bedtime. What would make this better for your family?

Nice idea. Instant SEO audits inside the browser could be really useful for quick page analysis.

Does the extension also help identify structured data issues or schema errors?

As someone building a product, SEO insights like this are always valuable. @abdulnour

Is this tool also helpful for GEO & AEO? SEO is good but without these two, brand visibility is subpair

A dedicated native macOS app is way more appealing for time tracking than keeping another heavy browser tab open. Do you have any idle detection built in for when I inevitably step away from my desk to debug something? That feature would make this an absolute no-brainer for my daily client work.

Looks like a cool app, Congrats on the launch. Do you have plan to support a companion iOS app that syncs from iCloud ?

Launching something new always comes with a temptation to polish it endlessly in private. I decided to take the opposite route.

Today I'm sharing Letterbase publicly on Product Hunt while it's already functional but still evolving. Instead of waiting for "perfect", I wanted to build in the open, learn from real users, and improve based on real feedback.

Letterbase is built for people who want a simpler way to run email campaigns without unnecessary complexity. The goal is straightforward: make it easy to manage contacts, create campaigns, and understand your email analytics without getting lost in bloated tools.

The product is already almost fully working, and this launch is about starting the conversation with the community that can help shape where it goes next.

If you check it out, I'd genuinely appreciate your thoughts, feedback, and suggestions. Every comment helps make Letterbase better.

Thanks for taking the time to look 🙌

— Builder of https://www.letterbase.net

Most email tools talk about opens and clicks. Focusing on actual conversions is a better angle.

How you guys compete in this very crowded market. In other words, what's the difference or benefits, compared to tools like Instantly, Lemlist etc. Anyway, good luck

Notes that resurface on their own when they are actually relevant is a much better model than searching through everything manually.

I always end up using a messy markdown file for quick brain dumps, but it becomes impossible to parse when I revisit it later. Having a dedicated inbox just for raw, unstructured ideas could easily replace my current habit of sending Slack messages to myself. I would love to hear how you are handling search latency as the number of saved thoughts scales up over time.

The concept of 'thought graveyards' hits home. As a builder focused on deep creative flow, I know how easily a fleeting idea can vanish if the capture process is too heavy. Limiting it to 500 characters is a genius move to reduce friction. Does MindStash have a way to resurface these thoughts during specific times of day when we're most creative?

I’ve been using SuprFlow for about two months during the beta, and I’ve really enjoyed it.

What I like most is that everything runs locally on my machine. No accounts, no cloud uploads, no subscription.

After using it for a while, I actually cancelled my Wispr Flow subscription. SuprFlow just fits my workflow better.

Excited to see how this evolves.

Cool business model innovation! Does Wispr not do the processing locally already? It always seems so fast I assumed the model was local.

Also curious how you are protecting your IP without accounts. Don't you need that for purchase verification at a minimum?

Finally, a dictation app that isn’t just one-size-fits-all. Curious to see how the community shapes the roadmap over time 😄