PH热榜 | 2026-03-01

As @busmark_w_nika reported, People are switching from OpenAI to Claude following Sam Altman's announcement today.

Now you can switch from ChatGPT to Claude without starting over!

What’s possible now

Claude has a Memory feature that lets it retain user preferences, context, project details, and personalized information across conversations (so you don’t have to re-explain everything each time). This memory is available on paid plans (e.g., Pro, Max) and is similar to ChatGPT’s memory feature.

How you bring ChatGPT context over

There isn’t a literal “one-click” automatic transfer between ChatGPT and Claude yet. You can export or copy your memory/context from ChatGPT (e.g., ask ChatGPT to summarize what it knows about you) and then import it into Claude’s memory by pasting it into a new chat or using Claude’s memory settings.

In short

Claude can use prior context from ChatGPT if you bring it over manually. It effectively lets you continue where you left off without starting your workflow from scratch, as long as you import the summary/context.

Have you made the switch to @Claude by Anthropic yet or you prefer staying with @OpenAI?

Let us know in the comments! :)

The copy-paste transfer gets you the explicit memory layer — the facts Claude now knows about you. The harder problem is the implicit layer: how ChatGPT has calibrated to your tone, your pace, your reasoning style, the shortcuts it's developed for how you work. That doesn't copy-paste. Claude still has to infer all of it from scratch. The real test of this feature is whether a cold Claude + your imported memory actually feels like continuity, or just familiarity.

What I'd really like to see, as a heavy paid user (tier 2 of Pro) of Clausde, is when a chat gts full, the hand-off doesn't lose so much;; I have train each new chat for 30 mins before I can continue getting things done.

This is actually a very interesting shift.

The real switching cost between AI tools isn’t UI — it’s memory.

Context is the moat.

Once your AI “knows” your projects, decisions, and thinking patterns, you’re not just using a tool — you’re building a cognitive extension of yourself.

Curious question:

Do you see portable memory becoming an industry standard?
Or will AI providers eventually compete on proprietary, locked-in context layers?

We’re building a product where structured probability and event context matter a lot — so the idea of transferable intelligence is fascinating.

The copy-paste flow is clever for getting explicit facts across, but I'd love to know how Claude handles contradictions in imported memory. If ChatGPT "knew" something outdated or just wrong about you, does Claude surface that for review or silently accept it?

Congrats on the launch! How does it handle complex system prompts or long chat histories?

Wild how AI models have basically developed political reputations at this point and now have actual fanbases because of it. Fascinating direction for this industry.

I've been preferring Claude lately, feels like it's pulling ahead, but I'm sure it'll keep swinging back and forth. Perplexity is looking really solid too. So, this seems really useful for a lot of people!

Claude Import Memory feels most valuable right at the chat-full handoff. A tiny handoff packet, goals, constraints, key decisions, do-nots, then paste into a fresh chat and, if Memory is on your plan, save only the durable bits there. Separate slots for prefs vs project brief would keep imports from becoming a junk drawer, and you can redact sensitive stuff before saving.

Nice timing, nice caption!

Thats what clever move means ✅

Huge move importing memory lowers switching cost overnight, if Claude can pull in context cleanly that changes the game for power users, curious how smooth the copy paste flow really is anyone testing this today

Has it actually worked for anyone?

i know its product hunt but congrats to claude being #1 on Appstore i hope it will be top product of the day as well as number 1 on android playstore too

Hey everyone, excited to launch on Product Hunt today!

AI made coding faster. Marketing can't keep up. Notra lets you ship product updates as fast as your code, so changelogs, LinkedIn posts, and marketing copy go out without the usual lag. The idea: engineers shouldn't have to slow down to market what they built.

Would mean a lot if you could take a look. Curious what you think!

This lowkey turned the chore of creating release notes and changelogs into a drop-in solution, absolutely love how low friction it is

Super super nice, congrats on the product and the launch! Do you have a way to personalize the output to match the user's tone of voice? The content creation part is great, but I was wondering if you also have something in place to ensure it doesn't sound generic?

Is there an offline mode available or any built-in SEO tools for the published content?

This is a real pain point. We spend way too much time turning dev work into marketing content. Love that it pulls directly from GitHub and Linear — that's where the actual work lives. Congrats on the launch!

Great product, we could automate code w different tools but finally a good product for marketing. Should definitely try it

A use-case for this could be writing release notes automatically, or letting my co-founders know what is coming out on new releases, can I link it to post to slack rather than just feeding it data from there?

This is solving something I've felt firsthand - we ship fast but then the marketing side just... lags behind for days. The idea of pulling directly from GitHub commits and Linear tickets to generate ready-to-go content is smart. Curious about one thing: how customizable is the tone/voice for the outputs? Like if you have a very specific brand voice, can Notra learn that over time?

Amazing product that I can’t wait to use. Congrats on the launch!

I really love the idea! This is such a strong concept, and Notra actually works really well too. I tried it, and I’m fascinated by how good the texts Notra creates are, just based on my Git commits. It’s absolutely crazy. I’m very excited to see how this will impact our marketing in the long term.

the first tool that really gets my messy commits and makes perfect changelogs from it, that i literally then just instantly display on my website. great ux too, very intuitive!

This hits close to home. At Custyle, we're building AI-powered merchandising, and the gap between shipping code and shipping marketing content is real. Engineers move fast, but marketing copy gets stuck in a queue.

What's interesting here is the integration depth — pulling from GitHub commits AND Linear tickets gives you actual context, not just surface-level updates. That's the difference between "we shipped features" and "here's what changed for users."

Quick question: For teams with multiple products or workstreams, how does Notra handle prioritization? Like, if we're pushing updates across 3 different product lines simultaneously, can it distinguish what's worth promoting vs. what's internal infrastructure?

Congrats, this is really nice!

As a QA, I've seen so many great features ship with hardly anyone pushing them forward because devs didn't have the time to write marketing copy or properly explain the full picture to their marketing team.

Does this capture the "why this matters" or just the "what changed"?

Hey folks
What’s the exact moment or event that makes me think: ‘This is worth paying for Notra’?”

Congrats on the launch, website looks super neat and clean. Is there any API to integrate with different software? In my company we've been using Microsoft Teams, so I don't know if it's possible to fetch details from there.

This hits a real pain point. I'm a solo founder shipping features constantly and the marketing side always lags behind — I'll push 5 updates before I even think about writing a changelog or posting about it. The GitHub-to-content pipeline makes a lot of sense. Quick question: does it handle different tones for different channels? Like a more technical changelog vs. a casual tweet or Reddit post from the same PR?

hey, congrats on launch. I noticed that you mentioned P2P networking in your website, do you plan to make it distributed in the future?

This is the kind of infrastructure play the agent space needs. Most frameworks are still stuck in "prompt-response" mode — basically glorified chat wrappers. But actual autonomy means agents that wake up, do work, and report back without you babysitting.

What caught my attention: the security-first architecture. WASM sandbox + Merkle audit trail + taint tracking isn't just feature creep — it's acknowledging that agents making real-world calls (payments, API writes, data access) need guardrails. At Custyle, we're building AI-powered merchandising agents, and the question of "what happens when an agent goes rogue mid-task?" keeps me up at night.

Quick question: For scheduled agents that fail partway through, is there a built-in retry/recovery mechanism? Or does the Merkle trail just help with debugging after the fact? Also curious how you're thinking about multi-agent coordination — if 7 Hands are running simultaneously, how do they share state without stepping on each other?

Building an Agent OS in Rust with a WASM sandbox is a serious architectural choice. Most ‘agent frameworks’ stop at orchestration - you’re clearly thinking about execution boundaries and auditability.

Curious how you see OpenFang competing with cloud-first agent platforms. Is the long-term vision self-hosted autonomy, or a distributed network of agents?

Amazing one Jaber, congrats, do you consider making other products use yours to build agents in their workflow?

Built in Rust with WASM sandbox — that's a serious approach to agent security. Bookmarking this.

Congrats on the launch! The idea of building agents that actually run autonomously on schedules instead of just responding to prompts is a really important distinction — most frameworks still feel like glorified chat wrappers. Building this in Rust with a WASM sandbox is a bold choice too. Curious about the security model — with 16 security systems and Merkle audit trails, are you targeting enterprise use cases or is this more for indie devs who want to self-host reliable agents? Either way, shipping a single binary makes the DX so much cleaner.

The security architecture here is impressive - 16 layers including WASM sandboxing, Merkle audit trails, and taint tracking is serious work. Most agent frameworks treat safety as an afterthought, but for agents that actually interact with the real world (payments, database writes, API calls), this is exactly the right priority.

Curious about one thing: when an agent triggers an action with real-world side effects (like sending an email or making a payment), how does the system handle rollback if a later step in the chain fails? Is there a compensation mechanism, or does the sandbox prevent those actions from executing until the full chain is validated?

Congrats on the launch - 4,000+ stars in 4 days speaks for itself.

The WASM sandbox + Merkle audit trail combo is really smart for agent security. Most frameworks just trust the LLM output blindly - having taint tracking built in from day one shows you actually thought about what happens when agents run unsupervised. Curious how the scheduling system handles failures mid-task.

Really interesting approach building an open-source Agent OS in Rust. The focus on WASM sandbox + security layers stands out. Curious how you’re thinking about long-term extensibility for third-party tools?

The "speak once, get multiple versions"

approach is clever, removes the mental

overhead of switching tone manually.

100% on-device with no accounts is a

bold choice in an era where everything

wants your data.

Respect for that!

One thing I'm curious about - how does

the on-device model handle accents?

Asking as someone who speaks with a

strong Indian English accent.

Does it perform well or struggle

with non-native speakers?

This looks great, congrats! Keep up the great work.

I was thinking that sometimes an idea needs multiple takes. What if you could do a "part 2" recording that builds on a previous one? Like continuing a thought from yesterday without starting fresh.

Superb, Are you planning for iOS version?

Hey @justonedev cool product! Does it work when there are 2 speakers?

Super useful app. It would be a great addition if the app included a direct integration with Google Keep to make organizing my notes easier. The current price tag feels unrealistic, and I would be much more willing to pay a maximum of $3 per month for a subscription.

@justonedev Congrats on your launch and great product. I really like the feature that provides different tones to choose from. Quick question- can I edit/add to a note by dictating a more information that occurred to me after the fact?

Congrats on the launch! How does the AI maintain the original speaker's tone while polishing the grammar?

I remember the hard time working on my thesis. I read a lot and my brain was messed up, so I always took a walk outside, turned on GPT voice agent and started talking about whatever came up to my mind. I also kept pushing the agent to ask more follow-up questions so it could drain more thoughts. After that I got a summary and a nice looking catalog. This app resonates and has so much potential.

Looking forward to what's next.

This nails a real problem. I've lost count of how many times I've had a perfect thought while walking and by the time I sit down to type it out, it's gone or comes out completely flat. The 3 tone options are a smart move — being able to go from a casual voice note to a professional-sounding message without editing is huge. As a solo builder, I'd love something like this for drafting quick product updates or tweets on the go. Are you planning to add a Chrome extension version or is the focus staying mobile-first?

Super useful for quick content drafts. I always think faster than I type, so voice-to-polished-text makes a lot of sense. Does it handle multiple languages?

Hey Aleks! It looks really cool, and super useful even more. I'm sure it's gonna help many founders to get those thing done. Wish you all the best here!

This product totally speaks to me. :D

And it is exactly how I would like to operate – I will say something, and it will create a text from my note! :) without fluff.

Congrats on the launch. Who is this really for? Creators? Founders? ADHD thinkers? Sales people?

Hey Product Hunt! I’m Jimmy, Founder of Simplora.

Here's the problem:

Meetings suck. We know. We get it.

Prep is rushed. Context is fragmented. Decisions get delayed. Actions fall through the cracks. Instead of work actually getting done, meetings just create more work. It’s exhausting.

But here’s the good news.. it doesn’t have to be this way.

Here's how we solve it:

Simplora is an agentic meeting system designed to close the gap between meeting preparation, conversation, execution, and analysis.

Throughout the full meeting lifecycle, Simplora uses your data and context to activate AI agents that help turn your conversations into action.

Our goal isn’t better meeting notes. It’s eliminating the burden that meetings create for modern teams.

Here's how it works:

1. Connect your existing tools, institutional knowledge, and business context

2. Get prepared before meetings with participant insights and historical context

3. Get verified answers, guidance, and resources proactively during meetings

4. Automate AI meeting notes, follow ups, and workflows after meetings

5. Analyze patterns, performance, and insights across all of your meetings

Here's how to get started:

Sign up today to start a 14-day free trial. No credit card required. For our Product Hunt community, we're also offering a free month of our Starter plan. Use code PHLAUNCH100 at checkout.

If you’re already using a meeting tool, here’s why it’s worth switching:

• Our FREE plan comes with UNLIMITED AI meeting prep, notes, and chat

• Get an agentic intelligence layer across the full meeting lifecycle for your entire organization

• We’ll migrate your existing transcripts so you can switch tools without losing context

We look forward to hearing your feedback!

Hey Product Hunt! Fahad here, one of the engineers on the Simplora team! So excited that Simplora 2.0 is live today. We built it to make meetings smoother and to help you stay focused without losing context. Really looking forward to hearing what everyone thinks and getting your feedback, questions, and ideas. Thanks a lot for checking it out and supporting us

I have a soft spot for any technology that helps people and businesses spend more - and better - time together. Jimmy and Simplora are moving SO fast here: now pre-, during-, and post-meeting flows, adding x-company context, and helping decode the 'special language' every team develops. As everything automates, and comms gets put on autopilot, I truly believe the moments when we get together will be more important than ever so use this as a way to drive more efficiency and clarity. Oh, and stay tuned for a special @Meet-Ting + @Simplora mashup soon...!

Meeting prep is one of those things everyone knows they should do but rarely have time for. Free unlimited prep + notes is a strong move. How does the knowledge base build over time — does it learn from past meetings automatically?

Hello PH family 👋

Pratham here, part of the team behind Simplora.

Really proud of what we shipped with 2.0. We’ve been heads down building across prep, live meetings, and post-meeting automation and we’re just getting started. 🚀

Really appreciate the support today. Your feedback would be genuinely helpfull for us. 🙌

Congrats guys, cool idea) Curious how it handles back-to-back meetings where there's no gap to review anything.

Congratulations on the launch. Which user persona does Simplora target?

Hey Product Hunt! Shahzaib here from Simplora's Engineering Team.
I am really excited for the launch of Simplora 2.0 as this time we are here with something big. Now Simplora is your meeting partner, from scheduling the meeting to live assistance during the meeting, all the way to sharing the recaps.

Out of many cool features, The COOLEST feature of this launch is Meeting Briefs. Going for a call with new people? NO WORRIES! Simplora has got you covered. Just review the briefs and you will get an introduction to the meeting participants and meeting agenda.
If you are someone who forgets action items from the last meeting (like me, lol), then there is something even more exciting for you in the Briefs section.

At Simplora, our core value is to move with Purpose. Your valuable feedback will be much appreciated.
Do check out our newly launched features!! 🙌🏼

Congrats on shipping a new version so soon — y'all are cooking!

So here's our current "meetings notes stack":

1. Notes, agenda, transcription summary for the entire team: Notion + AI Meeting Notes

2. Video recording + speaker identification for the team: Loom meeting recorder

3. Video recording + speaker identification + summaries for Sales: Attio Call recorder

4. Video recording + speaker identification + clipping for Design: Fathom

5. Transcription and summary for me: Granola (I like the UI and the limited scope of the AI)

Where does Simplora fit in all of this?”

The full lifecycle approach is what makes this stand out from the sea of "AI meeting notes" tools. Most solutions stop at transcription and summaries, but the pre-meeting briefs that pull context from your existing tools is where the real value is — showing up to a call already knowing the backstory changes the dynamic completely. The unlimited free tier for prep, notes, and chat is generous too. Quick question: for smaller teams or solo founders who mostly do external calls with prospects/partners, does the knowledge base still build useful context even without a large internal meeting history?

The "agentic meeting stack" positioning is spot-on. Most meeting tools just record and transcribe - but the real pain point is everything BEFORE and AFTER the call.

For sales and customer calls, prep time is often rushed. We have scattered info across CRM, email threads, Slack, Notion... and still show up half-prepared. The idea of AI agents pulling context from all these sources beforehand is genuinely useful.

One question: how does the knowledge base handle conflicting or outdated info over time? If the system accumulates context from hundreds of meetings, does it "forget" obsolete details, or does the noise eventually dilute the signal?

Nice work! It looks really helpful, congrats on the launch and the product.

I'm curious if Simplora also has a feature that flags when the same topic keeps coming up across meetings without resolution? Something like "you've discussed X in 5 meetings without a decision." I was just thinking that this could really help cut the meeting loops.

Hey guys
what’s the exact moment I’ll hit to think “okay, this is worth paying for Simplora”?

Congratulations team, this looks brilliant!

I'm happy to hunt this one WebSocket Mode for the Responses API looks like a small infra update but it's quietly one of the more important shifts in how production agents get built.

Most agentic workflows today are built on a protocol designed for single-turn interactions. Every tool call resends the full conversation history. The model reprocesses what it already knows. Your infrastructure pays that toll on repeat, invisibly, at scale.

This changes the contract.

⚡ What's different with WebSocket Mode:

• One persistent connection to /v1/responses -- no new HTTP handshake per turn

• Only incremental inputs travel over the wire, not the full context

• Session state lives in memory -- the model picks up exactly where it left off

• Cline tested this in production: ~39% faster on complex multi-file tasks, up to 50% in best cases

• Pair with server-side compaction and you can run agents for hours without hitting context limits

🎯 Who this is actually for:

• Teams running agentic coding tools with repeated tool calls

• Computer-use and browser automation loops

• Orchestration systems where agent latency affects user-perceived quality

⚠️ One honest caveat: the WebSocket handshake adds slight TTFT overhead on short, simple tasks. This compounds value on heavy workloads, not light ones. Know your use case before you swap.

For teams already running production agents, is latency or context limits the bigger blocker right now? Curious what this unlocks for people here. 👇

This is solving a real pain point for

anyone building agentic workflows!

The context resending overhead was

something I ran into while building

Fillix - an AI job automation tool.

Every tool call was adding unnecessary

latency.

40% latency reduction on heavy

tool-call workflows is massive.

Quick question - how does WebSocket

Mode handle connection drops mid-session?

Does it resume from last checkpoint or

restart the context fresh?

Open AI will always be the king!

Hey Product Hunt!

We built browser-use: the open-source browser automation library
with 79K GitHub stars. Today we're launching something new.

BU is a fully autonomous agent API. Not just
browser automation, agents get:

🌐 Browser: any website, CAPTCHAs solved, 195+ country proxies
💻 Terminal: run commands, execute scripts
📁 File System / Persistent Memory: read, write, manage files across sessions
🔗 Integrations: Slack, Linear, and 100 more

What makes BU special:
• Profiles: scoped auth. Agents start logged in.
• Workspaces: persistent storage. Agents remember across sessions.
• Keep-Alive: resume sessions, don't start over.
• Live URLs: watch your agent work in real-time.
• Cost Controls: set per-session spending limits.
• Structured Output: JSON schema for deterministic results.

One API call → agent with a browser, terminal, and file system
that works 24/7 and reports back to your Slack.

Free to start. We'd love your feedback.

Browser automation is something I've been

deep in lately while building an AI job

application tool.

The biggest challenge I faced was reliably

extracting dynamic form elements that load

asynchronously. Curious how Browser Use

handles SPAs and dynamically rendered

content?

Also - 985 followers before launch is

impressive. Clearly hitting a real nerve

in the agent space!

amazing product, let's go team!

Sensational

even if it does not get to top product of the month but for sure this is one of the best product of this month

Hey everyone! 👋

I built Octrafic to make API testing simpler - no test scripts, no GUI, no mocks.

Point it at any API, describe what you want to test in plain English, and the AI agent handles the rest - planning scenarios, running real requests, validating responses, and exporting results.

What it can do:

- Describe tests in plain English - no boilerplate, no config files

- Generate an OpenAPI spec from your source code

- Run in CI/CD pipelines non-interactively with a single command

- Export tests to Postman, curl, or pytest to use in your existing toolchain

- Export PDF reports

- Works with any LLM - OpenAI, Claude, Ollama, llama.cpp. You bring your own key, nothing goes through my servers.

Single binary, no runtime dependencies, fully open-source under MIT.

Give it a shot and let me know what you think.

CLI tools for API testing have always felt

like they need a PhD to configure properly.

Plain English interface is the right call.

The OpenAPI spec support is what caught my

eye - been dealing with API validation while

building an automation tool and writing test

scripts manually is genuinely painful.

Does Octrafic handle auth flows well?

Things like OAuth tokens, API key rotation

mid-session - that's usually where CLI

testing tools fall apart in my experience.

Also open-source is a big green flag.

Will definitely be exploring this!

Plain-English API testing from the CLI is a strong angle. Most tools either lock you into a GUI (Postman) or force you to maintain brittle test scripts.

Curious about determinism - if the LLM plans the test flow, how do you ensure reproducibility in CI runs? Can scenarios be “frozen” once generated, or is each run potentially slightly different?

Also like the single-binary + BYO key approach. Clean dev ergonomics.

Really cool approach to API testing. The "describe what you want to test in plain English" workflow is such a natural fit — writing and maintaining test scripts for every endpoint is one of those tasks that everyone knows is important but nobody actually enjoys doing. The fact that it generates a PDF report at the end is a nice touch too, super useful for sharing results with non-technical stakeholders. How does it handle authentication flows — like chained requests where you need a token from one endpoint to test another?

All these IDEs are the same, but you write that they are different, but they are one and the same.

Interesting approach using LLMs to generate + validate test flows directly from OpenAPI specs. How are you thinking about reproducibility across runs?

The workflow cloning concept is what

really stands out here - most AI platforms

make you start from scratch every time.

Routing each step to the best agent

is smart architecture.

Curious how

you handle conflicts when two agents

produce contradictory outputs in the

same workflow?

Also the community library angle reminds

me of what GitHub did for code - but for

AI workflows. If the community grows,

this becomes incredibly powerful.

What's the most popular workflow being

cloned right now?

Hi Product Hunt 👋 I’m Hiroki, founder of Epismo.

I kept running into the same issue with daily AI use: I’d get a great result, then a week later I couldn’t reproduce how I got there. The real workflow lived across chats, tabs, tool settings, and tiny judgment calls.

Epismo Skills turn that hidden "how" into a workflow you can reuse and share with the community.

Instead of trading prompts, we share workflows as reusable units: explicit steps, human vs agent boundaries, expected artifacts, and quality checks. You can run the same workflow inside the agent environment you already use.

What you can do with Skills:

• Copy the whole process
  Import a workflow that includes the exact steps, tools, and prompts used.

• Turn knowledge into workflows
  Generate a workflow from project context or an external doc/link, then reuse it.

• Run workflows as projects
  Treat an imported workflow so progress stay visible.

Take a workflow, adapt it to your context, then publish your improved version back so others can reuse it and build on it.

What workflow do you wish you could import and run today?

Source: https://github.com/epismoai/skills

System-wide audio capture instead of

per-app is the right approach - surprised

nobody solved this properly until now.

60+ languages with real-time translation

is impressive. How does it handle

heavy accents or technical jargon?

Love that this started as an open-source passion project to solve your own hearing loss. The custom context feature is clever — most transcription tools just throw generic models at everything. Waiting for the macOS version!

Nice! Curious how it handles multiple speakers in the same room vs. remote calls — does it differentiate voices or just transcribe everything as one stream?

I started in 2024 with an open-source project, System Captioner, tinkering with OpenAI Whisper models to create a tool that could caption live streams and help me with my hearing loss. Although quite accurate, the size and clunkiness of the models meant the app wasn't as accessible to the public as I had wished.

Since then, I have been working on Hearica. It leverages cloud to run on any PC while being significantly more accurate than YouTube auto-captions or built-in transcription models that come with some operating systems. And adding context, even a short note like "A live stream of a medical lecture", makes it even more accurate.

What's your experience with real-time captioning and translation tools? Have you ever been in a situation where you wish you had real-time captions?

I'm bootstrapping Hearica solo and it's a passion project years in the making. I would love to hear your thoughts. Hearica is out on Windows today, with a macOS launch soon.

We haven’t launched yet.

We’re building IndBase because we believe Indian startups deserve core infrastructure that is physically located, legally aligned, and operationally available within India.

This is not about marketing positioning.
It’s about architecture and accountability.

We are working toward:

• Postgres hosted inside India
• Clear data residency guarantees
• Alignment with Indian compliance requirements
• Billing that works locally
• Support that runs in IST

Right now, we’re in build mode - validating assumptions, speaking with early builders, and shaping the platform carefully.

If you’re building in India and care about where your infrastructure lives and how it operates, we’d value your input early.

We’re opening the waitlist to start that conversation.

We built Gisteasy after apartment hunting and realizing how easy it is to miss deal-breakers—like noise—when you’re buried under hundreds of reviews.

The idea is simple: you tell us what matters to you (and what to avoid), and we analyze reviews to surface the signals that actually matter—key red flags, relevant comments, and a personalized match score—so you don’t miss the one review that changes the decision.

It applies to lots of situations.
• Booking a hotel and worried about cleanliness? We find it based on what people actually mention in the comments.
• Picking a first-date restaurant and hoping to avoid somewhere too crowded? That comes straight from the comments.

We’re still early, and would really appreciate any feedback, suggestions, or ideas on how this could be more useful.

Congrats on the launch team! Its interesting. Does this cover places allover the world or specific countries and areas?

Huge congrats on the launch! 🎉 This is such a fantastic idea.

Quick question for the team: Which platforms are you currently pulling review data from (e.g., Google Maps, Yelp)? And are there plans to integrate more localized platforms in the future?

Hey everyone! I'm Tomy, a solo dev from Spain.

I built YourShelf because I wanted a link-in-bio that actually reflects who I am. I use Letterboxd, Goodreads, Backloggd, and Spotify, but when someone asks "what should I watch?" I never had a single place to point them to. Linktree and similar tools are great for links, but they don't show your taste.

YourShelf lets you pick your top 4 films, TV shows, books, video games, and music albums, all pulled from real databases (TMDB, Spotify, Hardcover, IGDB), and display them on a customizable profile page alongside your social links.

It's free to use. The Pro plan adds extra personalization like custom backdrops, more font options, and exclusive shelves.

This is my profile: https://yourshelf.co/tomy

I'd love to hear what you think, and if you create a profile, feel free to share it here!

Oh, this is really cool! Congrats!

Curious, why did you pick 4?

Wild that every social platform hasn't done this already. Bios are honestly one of the hardest things to write about yourself and it's difficult to know what to put. This is awesome.

Hey guys
as a user, what’s the exact moment in Fokus when I’ll think: “Okay, this is worth paying for”?

Most AI analytics tools generate answers.

You’re claiming to generate curiosity.

That’s a much harder problem.

Autonomous data exploration sounds powerful — but the real risk is hallucinated patterns dressed as insight.

The real moat won’t be Python execution.

It’ll be epistemic discipline.

How do you ensure the agent isn’t just getting more confident — but actually getting more correct?

its funny, i dream alot these days. it has been 2 weeks, and i was wondering what my dreams are abouts.

this might be interesting

Hey Product Hunt - we built MCP Marketplace because discovering and trusting AI plugins shouldn't be hard.

MCP (Model Context Protocol) lets AI assistants connect to real tools: databases, calendars, APIs, smart devices. But finding safe, working servers was a mess of scattered GitHub repos with no vetting.

So I built what I wanted to exist:

• 1,700+ tools across categories, searchable and filterable

• 8-layer AI adaptive security scanner that reviews every submission before listing (public scores, not a black box)

• Works with every MCP client: Claude, ChatGPT, Cursor, Windsurf, VS Code, Copilot, Gemini

• Creator monetization optionality (finally): set a price, we handle Stripe checkout + license keys. You keep 85%

• One-click install: no coding required

It's completely free to browse and install. I'd love your feedback. What tools would you want to see listed? And if you've built an MCP server, submit it and create a creator profile.

I've been writing about this exact thesis for the past year. MCP is the composability layer that turns AI from a monolith into a marketplace, and I've seen this movie before. In 2002, we launched the first U.S. app store at Verizon. The pattern is the same: open protocol, developer ecosystem, curation layer, distribution wins.

What caught my eye with MCP Marketplace is the security scanning. The MCP ecosystem right now is scattered GitHub repos with zero vetting. The same wild west we had with early mobile apps. Someone needs to be the trusted front door. This is it.

Congrats on the launch. This is exactly what the ecosystem needs.

Hello, I would love to hear your feedback to my app.

As one man team I put a lot of effort in solving my own issue with writing notes to random places with no central hub to do so. The big name apps were too clunky for me, slow and didn't use AI well enough.

What the app does:

• Captures information quickly (text, photos, screenshots, links, and notes)

• Organises automatically with AI (tasks, events and todos are grouped contextually into collections)

• Automatically makes context-aware actions (creates reminders, deadlines and calendar entries)

• Natural language search and editing (searches across all entries using natural language)

I think its useful for:

• Capturing ideas, tasks, and references as they come up

• Organising study materials or project notes

• Saving everyday items like books, recipes, or places

Let me know your feedback! :)

A fast way to capture ideas und thoughts. The AI turning messy thoughts into something usable is the best part.

Nice app! In the next version, I’d really appreciate a sharing button.

Capturing thoughts is easy.
Turning them into structured action is hard.

The real value here isn’t note-taking — it’s intent extraction.

If AI can reliably decide what deserves attention and when to nudge, that’s a cognitive upgrade.

Curious how much control users keep vs. full automation.

This feels closer to an external decision layer than a notes app.