PH热榜 | 2026-05-08

Hey everyone 👋

I'm Dan, founder of RankSpot - and yes, some of you might recognize me from our previous launch!

Based on the incredible feedback we got from the Product Hunt community and our early users, I made a big decision: to split the project and build RankSpot as a dedicated, focused product. This launch is a direct result of what you told us. So thank you - you literally shaped this.

The problem 👀

Every founder knows they should be publishing content. But between writing, keyword research, images, and publishing - it never happens. You wrote 2 blog posts this year. Your competitors are on page 1 of Google. And when someone asks ChatGPT about your industry, they get recommended - not you.

SEO agencies want $3,000/month. Doing it yourself takes 5+ hours per article. Neither works for a small team.

Our solution ⚡

RankSpot is a fully automated AI SEO agent driven by deep competitor intelligence. It handles your entire SEO pipeline - every single day.

🔍 Competitor intelligence:

- Tracks what keywords your competitors rank for

- Automatically scores and targets most relevant keywords

- Finds Reddit & forum conversations where your customers are asking for solutions

✍️ Research-backed articles:

- Writes 1,500+ word SEO & GEO optimized articles daily

- Adds real quotes, stats, tables, internal links, and generated images

- Researches top-ranking posts before writing - not just a one-prompt agent

🚀 Fully automated publishing:

- Connects directly to WordPress, Webflow, Shopify, Framer, Ghost, and more

- Articles go through a review queue - you stay in control

- Supports 100+ languages

Why it matters 🌟

When you rank high on Google, LLMs like ChatGPT and Claude start citing you too. RankSpot optimizes for both - so you get customers from search and from AI, on autopilot.

Is there a deal? 💰

Yes! First 3 articles are completely free when you start a trial. Try it, see the quality, then decide.

👉 Start for free: https://rankspot.ai

Would love your feedback - you shaped this product once already, let's do it again 🙏

Happy launch! This is super useful!

Some questions though: 1. there is lots of competition in this field, how you stand out? 2. Doesn't Google penalise AI created content? I don't know, just asking, because I heard about it, couple of times. 3. How do these SEO articles translate into LLM citation? It's just quantity or there is some specific algo, which makes LLMs pay attention to those articles?

This is a great solution, exactly what I needed (I don't always have the energy and strength to do everything myself).
Good luck!

@danshipit Congratulations on the launch! Curious how do you adapt for regional differences in LLM recommendations? A user searching in India vs the US may see very different sources, forums, and recommendations. Is this localized to market or primarily translation-led?”

Congratulations on the launch! Have you noticed certain article formats or structures getting better picked up by the LLMs? more consistently? Feels like that’s becoming the new SEO game :)

On mailwarm, we have now around 6-7% of our trafic coming from ChatGPT

Congratulations on the launch! SEO is an extremely important area for startups. Of course, a lot can now be done with LLMs, but the real challenge is knowing how to apply them effectively in an SEO workflow. This feels like a very strong niche, great work!

Congrats team for the launch!

Interesting...

Is there some example of articles written by it? Is someone already using it? Are your using it yourself?

Hey Daniil! Congrats on the launch. Getting Customers from LLMs is trendy now and I'm sure many founders gonna take the most of it

Will it also work for NextJS vibe coded apps ? Congrats @danshipit

Congrats Dan! How do you handle keyword cannibalization when publishing daily? Easy to end up with articles fighting over the same intent within a month. And is internal linking automated based on semantics, or does it need manual cleanup?

I recently discovered Google HCU protocol, do you adjust content pillars to it? Can it roast my existing blog posts?(that would be a nice product add-on)

Congrats on launch! How do you find keywords and monitor competitors?

Happy launch! I've already tried generation of non-english articles and they are very high quality. Incredible product!

What I also like about RankSpot is that it doesn’t stop at keyword research.

It analyzes forums and gives me direct links to relevant Reddit and Quora threads where people are already discussing problems connected to my product.

So instead of guessing where my audience hangs out, I can see real conversations, understand the language people use, and find places where it actually makes sense to join the discussion.

niceee

Guys, congratulations on the launch!

Congrats the launch! Usually, results of SEO appear in several months after issuing articles. How long does it take to recognize effects of RankSpot SEO articles?

Interesting, does it help with backlinks or just posts content? Any internal linking in the content? How does it not post the same content for different users? Great idea though!

Curious how it handles very niche topics with low search volume most AI SEO tools are optimized for high-traffic keywords. Does it work well for small audiences with specific long-tail needs?

Nice!

Asking Credit card before teaser is bad in current days.

Hey PH 👋 I'm Shengkun, co-founder of Monid.

Some of you saw us launch 15 days ago as "wallet for agents." Yes, we're back so soon. We've been shipping fast.

Since then, agents have made 3,000+ purchases through us. They're buying APIs to scrape social media, blockchain data to monitor wallets, and people data APIs to source talent.

But holding money in a wallet is only the first step.

Today, we're introducing Monid 2.0: OpenRouter for agent tools. With Monid 2.0, your agents can:

• Discover different services and compare them easily

• Use APIs and tools on demand

• Run under budget controls that you set

With Monid, your agent can tap into powerful premium tools to:

• Access every major social platform including TikTok, Facebook, Instagram, X, LinkedIn, Reddit, and YouTube

• Search and enrich people across platforms with verified contact details

• Find B2B leads with LinkedIn profiles, jobs, and company firmographics

• Pull product, pricing, and review data from Amazon, Google Shopping, and global retailers

• Track on-chain activity, trending tokens, and prediction markets like Polymarket and Kalshi

• Extract structured content from any URL on the web

We also shipped MCP support. You can use Monid in any platform now, including Claude.ai, Claude Desktop, Claude Code, Cursor, Windsurf, OpenClaw, Hermes Agent, and more.

Get started:

set up https://monid.ai/SKILL.md

Everyone here gets $1 in free credits. Try it and let me know what your agent does with it.

We'll be around all day to answer questions!

Whats the top 3 paied tools offered on your platform? "Tool registry coming soon 😅"

you guys aren't sleeping lol. exactly the layer the agent economy was missing🔥

Elite product!

Very cool!

Scraping social media is a hard problem and a big unlock. I'd love to have this on Agent37, if it works well. How exactly are you guys getting the data though from social networks given that sites like reddit, linkedin etc. block bots, proxies or something else ?

Secondly could this also post on behalf of users or only for search?

I used to spent months to integrate tools to my AI product 🤣 one-click integration is exactly what i needed

Been building this exact stack manually for a while now. Per-call pricing is the part that actually holds up for agent workloads. Curious how the semantic tool discovery handles it when two scrapers cover the same platform.

Hey Product Hunt 👋

I'm Joan and with @franco_quattroqui, we are building Flare from Rosario, Argentina, where Messi was born.

We built Flare because social apps stopped feeling social. People still want connection, but posting now feels like performance, comparison, and anxiety.

So we built Flare around voice.

In Flare, you capture real moments: photos, short videos, or moods. Behind the scenes, AI agents turn those moments into memory, identity, and friendship context. Then your Orb talks back about what matters: your day, your patterns, and the people close to you.

There are no likes, followers, comments, or feeds of strangers. Just you, your friends, and a social app you listen to instead of scrolling.

Our bet is simple: text created Facebook and Twitter, photos created Instagram and Snapchat, video created TikTok, and voice creates the next social primitive.

We launched the MVP this week. We’d love feedback on whether the Orb feels personal, whether listening makes social feel different, and what would make you come back every day.

Try Flare on iOS: https://apps.apple.com/app/flare-social-voice-friends/id6758351023

Thanks for checking it out ❤️

This look fun. Will try it out now.

Introducing @Flare today 🚀
We’re building a different kind of social app: no likes, no followers, no stranger feed. Just real moments, close friends, and an AI Orb that helps you understand your life and friendships through voice.

Would love your feedback on the first version especially on what would make the Orb feel surprisingly useful from day one.

Try Flare on iOS: https://apps.apple.com/app/flare-social-voice-friends/id6758351023

Thanks for checking it out ❤️

Congratulations

Honestly the part that gets me is "a social app you listen to instead of scroll." if that actually holds up in real use that's a big deal.
Congrats on launching, keen to try it 🙌

Huge congrats on the launch, Joan! 🚀

The shift from 'scrolling' to 'listening' is a fascinating bet on the future of social. I’m particularly impressed by the three AI agents (Spark, Mirror, and Bond)—having AI work for the user’s memory and friendships instead of just an engagement algorithm is exactly what the space needs right now.

The Aura Orb voice briefing sounds like a great way to stay connected without the typical 'performance' pressure of likes and follower counts. Can’t wait to see how this changes the way GenZ interacts! 👏

Such a refreshing social app, truly redefining how social was supposed to be. Congratulations on the launch.

This is a pretty cool launch. I like that Flare seems focused more on real friendships instead of building another endless public feed.

The voice-first idea also makes the whole experience feel a lot more natural and personal than most social apps out there. All the best guys!

I watched the video and went through the images, but I'm still not sure how it's a social app? Maybe I'm not just not connecting how orb relates to friends. Am I sharing my photos with friends in his orb, commenting on that?

Great work team 🙌
okay so the Orb talks back, but who decides when? like does it wait for me to open the app, or does it just randomly ping me saying, "hey you've been in a mood lately"? genuinely curious

The people who spent a decade saying they hated phone calls now send 3-minute voice notes daily.

Same act. Sound waves into someone's day, async reply expected.

Only the packaging changed.

People don't reject behaviours. They reject the cultural baggage attached to them.

Rebrand the act and you can sell the same thing back to the same people who refused it.

Did you ever try air chat? It was an audio-first social network that looked like Twitter and sounded like a podcast. I think audio-first social networks have a lot of promise, but they have to feel fast and connective with other people and high quality. In the demo video, the overall sense I got is it feels like talking to a robot. Do you have any thoughts on how to make it more connective?

@joanduarte its a great idea space! Since Flare is building memory, identity, and friendship context from highly personal voice/photo moments, how are you thinking about privacy boundaries so users feel comfortable sharing vulnerable moments without feeling over-profiled by the AI..

Looks fun, how soon are you planning for the android app?

Congrats on the launch! I'm curious, will you able to to see your friends' Orbs too or is that private? Where does that "social" aspect come in, aside from when you upload pictures of you surrounded by friends. Why voice as well? What prompted that decision to make it vocal? Do you thing that will bring up challenges later if people don't want to talk out loud all the time?

"Listen instead of scroll" is the right framing for what's broken about social right now — the feed-as-default has compressed every interaction into a 2-second swipe. Voice-first reintroduces narrative and pace, which is where memory actually forms. Travel is the other category where this lands well: when I built StoryRoute (https://storyroute.netlify.app/) for narrated city walking routes, the feedback that came back wasn't "good map" or "useful info" — it was that people remembered the place because they heard a story while standing in it. Voice + context = stickiness. Curious how Flare handles long voice inputs: does the Orb summarize back, surface only key moments, or store the full audio for later retrieval? That trade-off seems central to whether the product becomes a journal vs. a feed-replacement.

Hey Product Hunt, I’m Vishnu, maker of Minions.

I built this after watching Hermes/OpenClaw power users hit the same wall: one agent task works great, but 10–50 long-running tasks become operations work.

The core idea is heartbeat supervision: every in-progress task gets periodic check-ins where the agent is asked to make progress, retry with a different approach if stuck, and only escalate to you when it has genuinely exhausted alternatives. Blocked tasks surface automatically. Completed work moves to your review queue.

Minions is an open-source mission control layer for agentic harnesses starting with Hermes Agent.

What it does today:

  - Create and manage Hermes tasks from one board

  - Track work across in progress, needs help, ready for review, and done

  - Run heartbeat check-ins so stuck work surfaces automatically

  - Stream agent work live while it runs

  - Keep humans in the loop before anything is marked done

  - See scheduled job history and output

  - Run locally with SQLite, no account required

This is the local/open-source version of the agent management layer we’re building at Agent37. Hosted access opensMay 10, but Minions is usable locally today.

I’d especially love feedback from people running Hermes or OpenClaw agents. Where does your agent work break once you have more than one task running?

Love the idea of a single board for all parallel agent tasks. How's observability handled – logs/traces per task, or just status?

Congrats on the launch! Waiting to try this out on Agent 37.

This looks quite similar to Multica actually, which works great with Hermes

Nice idea! Could it be used for OpenClaw, too?

Hey everyone 👋
I’m Raghav, the Founder of GitHired.

Hiring devs is broken- you can’t tell if someone is a 100x engineer just by looking at a resume.

Some candidates look perfect on paper but can’t ship real features.
Others who can build get filtered out because of a missing keyword.

So we built something better. We analyze what a developer has actually built, not what they say they can build.
We break down their real tech stack, project depth and complexity, commit authenticity (no more fake green charts). Just describe what you're looking for, and get a ranked list of the most cracked devs with the skills relevant for the role.

Stop guessing who can code. Start seeing who does.

We’re early, shipping fast, and would love your feedback. Tear it apart, ask questions, or tell us what would make this a no-brainer for your team. The first search is free!

There is a tension tho. If your a 100x engineer you basically dont want to work for anyone. You have rather have 10x engineers working for you 😏

Loved the idea and execution Raghav.

At the last you mentioned. You have access to private repos as well. Curious, how are you having that?

yeah, I really love this software. It's actually helping us meet with applied AI engineers that are really talented, so thanks bro.

This is hiring by seeing the code not hearing it. Great launch guys....

Proof-of-work over keywords is the right axis for hiring — the resume-keyword game has been gamed for so long that any signal upstream of "things they actually built" is mostly noise. The same dynamic shows up in finance/FP&A hiring: "Excel expert" on a resume tells you nothing, but a working three-statement model with proper switches and an LBO toggle that doesn't break tells you everything. We hit this exact gap teaching financial modeling on Udemy (https://www.udemy.com/course/excel-for-financial-modelling/) — the people who finish the course aren't the ones who knew formulas going in, they're the ones who could rebuild a broken model from scratch. Curious how GitHired weights project depth vs. breadth when an engineer has 30 small repos vs. 3 substantial ones — the tail matters but it's hard to score.

This is how it should work honestly a GitHub profile tells you more than any resume. Does it factor in commit quality and consistency or mostly just activity volume?

We've experienced this - CVs are a terrible way to screen engineers. Looking forward to seeing how this evolves

It requires "This application will be able to read and write all public and private repository data." Why do you need write access too?

Being able to upload your own list of candidates and run them through the scoring is a really nice addition, if one candidate has older projects and another has newer ones but both score the same, does how recent their work is, change who ranks higher?

Hi everyone, I’m one of the developers behind Kuku, mainly working on the core logic and implementation.

We’ve rebuilt a lot of the product from the ground up for this launch, while thinking deeply about how local-first Markdown knowledge management can connect with an AI memory layer.

Kuku is still early, and there’s a lot we want to improve.

Please feel free to share anything. I’d be happy to answer as openly as I can.

We’ll also be shipping frequent updates from here, so please keep an eye on what’s coming next.

It’s Friday, so we’re going for it. @Y Combinator

Kuku is open source, but we’re building it like a real company: a local-first second brain and memory layer for the AI era.

congrats on the relaunch. the tauri + local-first call is the right one, electron-based note apps always feel like they're fighting the OS. the cursor-style diffs for AI edits is the part that sells it for me, "AI suggests, u review" is way better than the yolo-edit pattern most tools ship with.

curious where ur memory layer goes from here, is the plan to expose it as a context source other AI tools can read from, or keep it inside kuku?

Finally someone said "fuck Electron" for a markdown editor. Tauri + local-first + AI that actually writes to files instead of just yapping. Pure signal. Congrats on the launch! ⚡️

How do you handle sync between devices if it’s local first, like is there a recommended setup with Git?

The Tauri-not-Electron call is the part I appreciate most. The Obsidian comparison gets a lot of attention but the bigger story for me is the binary size and idle memory profile when you actually run a markdown editor on a laptop alongside a dozen other apps. Going to try this on my secondary work machine first.

Local-first + plain markdown is the only second-brain shape that survives long-term — closed note apps eventually break trust on either lock-in or pricing, and the migration cost on a 5-year vault is brutal. The portable-memory framing is what most AI-note tools miss; they treat notes as in-app data instead of files you own. I run a podcast (https://open.spotify.com/show/0m1oR8AyQv17DVpc5MmirG) on financial modelling and the listener-feedback I get most is exactly this: "where do I keep the takeaways?" — audio doesn't fold into a closed notes app cleanly, but plain markdown with backlinks does. Curious how Kuku handles AI-edits on existing files: do diffs apply per-paragraph or per-file, and is there a way to reject just one chunk of a multi-edit suggestion?

Local-first is the right call for a second brain cloud sync always feels like a liability for personal notes. Does it handle multiple AI models or is it locked to one?

i said wish i had llm on obsidian 2 days ago and now... you guys cooked.

Looks amazing!

Just had my own quiet PH launch a few weeks back, so massive respect for the pivot and the ship. The "screen record 10 takes for a 30-second Loom" loop is painfully real - we hit it every week shipping client updates. Going to burn through the 30 credits this week. Good luck today! 🚀

To be honest, the launch video felt really rough. Do you have plans to improve quality, or are you targeting some segment of the market that doesn't need high-quality launch videos?

Three updates a week vs. video cadence is the exact wall every niche-content channel hits. I run Mod3Loop (https://www.youtube.com/@Mod3Loop) on financial modeling — the bottleneck was never the script, it was the production lag between deciding-to-make and publish-ready. Anything that compresses that lag without flattening the depth is gold for solo creators; the failure mode of most AI-video tools is they ship something that looks fine but reads as filler within 30 seconds because the structure is generic. Curious how Fluent Frame handles the depth-vs-cadence trade-off: is there a knob for how much you want the AI to opinionate the structure, or does it always default to a templated arc?

As a solo dev making app screenshots and demo videos is always the last thing that gets done. Does it work well for mobile apps or is it mostly built around web products?

love this idea! I'm the only marketing person on my team and i know the ABSOLUTE pain of making demo videos that are branded and polished. The videos are still a lil rough but i see the potential. Keep going!

Hey Product Hunt 👋

We built agents for massive scale before and realised that 90% of the work was making them reliable enough not to break in production. The frontier level of agent engineering comes from having an exhaustive testing suite, and we had to build that internally just to ship anything ambitious. So we're building it for everyone else.

Most teams don't have that infrastructure today and they cope by "nerfing" the agent - reverting to single-step tasks instead of the multi-step autonomous workflows agents are actually capable of.

Our agent is an offensive AI that stress-tests your AI agents. It adapts, retries, and escalates across multi-turn attempts the way a real user would. Pure blackbox, no integration. Point it at any agent and let it run.

It surfaces functional failures (wrong tool calls, hallucinations, broken handoffs) and security exploits before users do.

What we can help with: Confidence that the agents you've already deployed hold up against the failure modes that matter. Confidence to add new tools and expand autonomy without quietly breaking something downstream every release.

Built by a team of ex-Meta and Monzo engineers. We'd genuinely love feedback from anyone who's been facing an issue with testing AI agents.

Hey Product Hunt 👋

Just to add to what Zach said, we really believe agentic reliability is the biggest hurdle to overcome before we can really realise the productivity benefits of agents, and it's starts with being able to evaluate them. How can you build something reliable, if you don't know where it fails?

Would love feedback and comments on our approach!

Love it

This is super interesting! Does it work with Nebula agents??

Crazy times, this is a killer product

So happy to see this launch. Great work guys!

Unreal product!

Hey Agent Operators! 👋

We built Ara for people who want an AI that actually does things on their computer — not just types back in a chat window.

Instead of juggling ChatGPT, Slack, your browser, your IDE, and 14 other tabs, Ara lives in your notch. Hit a hotkey, give it a task, and watch it execute on your Mac.

Things you can text into existence:

🖥️ "Pull this week's Stripe revenue and drop it in our standup doc"

📧 "Reply to the last 5 emails in my inbox"

🔍 "Find every YC P26 AI agent company and put them in a Notion doc"

📅 "Book a 30-min with John and Sarah next week, send invites"

⚡ "Open my repo, pull main, run the tests"

No tab switching. No copy-paste. No babysitting. Just hit the notch, give the task, walk away.

Wispr Flow on the surface. Jarvis underneath.

If you try it, drop the wildest thing you got Ara to do — we ship daily based on what breaks 🚀

Hey Builders & Automators!! 👋

We built Ara for people who want AI to actually do the work, not just chat about it.

Think Wispr Flow, but with hands. Just say it. It's done.

Ara lives in your notch and drives your Mac like you would, moving the cursor, clicking apps, filling forms, navigating the browser. You watch it work.

• 🖱️ State-of-the-art computer use and ACP running right in your notch

• 🤖 Bring your own LLM and use Codex like Computer Use, free

• 🧠 Smart, auto-routed models (Claude, GPT, Gemini + 180 others)

• 🔗 1,000+ integrations (Gmail, Slack, Notion, GitHub, and more)

No prompting gymnastics. No babysitting. Just say it.

Try it and tell us what you automated first 👇

That’s a really interesting approach. I’m excited to try this.

I imagine it probably takes a while to get used to handing off things that used to be manual work, but once that shift happens, I can see this becoming really powerful.

One thing I’m curious about though: is there some kind of security layer or approval system to prevent accidental file deletions or unintended emails or stuff like that?

Imagine being productive during your coffee chat or while you take a lap around the office. This is sick and will be experimenting with what I can get it to do for my startup without breaking :)

Hey Hunters 👋

We built Contral because we kept shipping AI-written code we couldn't defend in code review. Vibecoding made us faster but six months in we didn't understand our own codebases anymore.

The fix: vibelearning. You keep coding at AI speed and actually learn what gets written. No slowdown, no separate study time, just understanding that lands while the code lands.

Contral is the teaching layer for any AI coding agent.

What it does:

- Install in VS Code, Cursor, Windsurf, Antigravity, or Kilo Code in one click

- Whenever your agent edits a file, Contral streams an explanation card line by line while it ships

- Built-in recursive coding agent (Generator → Critic → Revisor) for the hard problems

- 49+ Java topics with a hint economy for structured learning

- BYOK supported, your keys stay on your machine

Free tier, no card required. Pro from $14.99/mo with 50% launch discount live today.

If you've ever shipped a Cursor diff and quietly hoped nobody would ask you to walk through it, vibelearning is for you.

We're in chat all day. Throw your honest takes, edge cases, and feature requests at us. The roadmap is genuinely shaped by what we hear here.

Thanks to the beta crew who stuck with us from v1 ❤️
Devansh.

I can see the use for this now a lot of junior or intern don't really know they are doing at their job! But probably the downside is on token consumption when everyone is crying on hitting the max token subscription regularly...

This looks really cool. We're building a similar open-source Agent-led web dev course and launching next week: https://www.producthunt.com/products/open-vibe?launch=open-vibe -- very cool to see similar ideas popping up in this space.

Most tutorials never match the real codebase, so this is actually important.

Congrats on the launch. I think it is great that you have added an educational element to vibe coding.

I have found that with vibe coding it is easy to get lost as the project becomes more complex and that the agent can get stuck in error loops and burn through tokens.

This tool is very flexible to use and now i get to understand my code better while vibe coding.

Hi everyone!

@Fitbit app is becoming Google Health.

Google is turning Fitbit into a broader health and wellness hub that brings together wearables, apps, smart devices, and even medical records in one place.

The premium layer is where the new direction becomes clearer: Google Health Coach, built with @Gemini, gives personalized answers, adaptive workout plans, recovery guidance, sleep insights, cycle health support, and proactive coaching based on your own data.

And with Fitbit Air, you get a Whoop-style screenless band to pair with it:

The screen-less band option is interesting and battery life is decent too.

Really curious to see how they handle the motivation gap most health apps are great at collection, way harder at sustaining behavior change over time. The coaching angle is interesting but I'd want to know: does the AI change how often it prompts based on your consistency history? That adaptive layer is usually what separates "impressive demo" from "thing I still use in 6 months."

Getting rid of the screen is huge, I had the last fitbit model but I would bash it on things constantly and the screen didn't work well for me anyway / never got used. I'd considered jumping to Whoop and just broke my last fitbit so the timing could not be better. Also love the knit band vs. the plastic bands, and Gemini 3.1 Pro has impressed me so the coach is probably really good if backed by same model or newer. Super exciting launch!

Really like the black-box setup. Feels much closer to how teams actually test APIs than benchmarks that assume source code access. Curious how you’re thinking about the planted bugs: do auth, pagination, schema issues, multi-step flows, etc. all count the same, or are you planning to weight them by severity/commonness?

Do you publish per bug breakdowns so people can see exactly what types of failures each agent misses?

the black box scoring is the right call, been skeptical of llm-as-judge for anything that has an objective answer. curious about the multi step flows though, if a bug only shows up at step 3 does the agent get credit for catching it or does it need to find it proactively from the schema alone?

5 years ago, me and @hemanthug didn't know we will be building a company together.

It started with a script to fill excel sheets at Hemant's hardware job, which turned into @Sutra

we have been at it for the past 2 months

Discovery conversations with engineers from Figure AI, Rivian, Caterpillar, Reliable Robotics and Nova Semiconductors told us the problem is much bigger than we imagined.

3 LOIs, 1 live, 2 onboarding. and a check from an a16z scout, we are just getting started.

I'm Hemant, Co-Founder & CEO of @Sutra.

Hardware manufacturing is having its moment right now, sutra lets hardware manufacturing teams make decisions faster and make them better. We are bringing the infrastructure that accelerated software development with AI to the manufacturing industry.

I have lived this exact problem for the past 3 years. As someone with a MS in Aerospace from UIUC I spent 90% of my engineering time filling spreadsheets and sending emails. I looked for a solutions but nothing existed. So we built it.

Sutra is what every engineer we talked to wish existed, it sits above a hardware team's systems of record (PLM, ERP, MES, email, spreadsheets) and answers operational questions, simulates the downstream impact of changes, and executes the follow-on workflows. The architecture mirrors the way engineering decisions actually get made: question, consequence, action.

Today we're launching our agentic layer, which as as an AI PLM analyst and runs your workflows autonomously. Head over to http://heysutra.com/agents to grab a spot on our list, as we are rolling deployments out over the week. We will be hanging out in the comments today!

Congrats on the launch. How do you handle permissions so it doesn’t leak info across teams?

Been using this daily and the extension SDK is the part that makes it click! I've stopped cmd-tabbing for half the things I used to. Congrats on the launch! 🎉

Hi Everyone, Introducing SuperIsland! 🏝️

I am a developer of SuperCmd, and I am releasing SuperIsland, Dynamic Island for MacOS  with Extensions

Problem:

Mac doesn't have it's own dynamic island, the space could be better utilized.

SuperIsland brings you same experience as dynamic island on iOS, and we aim to do that with the Raycast styled extensions support with the SuperIsland SDK.

You can write your own standalone extension via the exposed sdk and raise a PR, i will review and merge it

Features:

• Live Media Player with playback controls

• Calendar widget to see upcoming events

• Live Weather

• File Tray to drop files

• Choose your Mascot to match your vibe

Extensions:

• WhatsApp Web: Login via QR, see live notifications in the notch and reply from the notch itself

• Pomodoro: Live in your notch with the selected mascot that mimics the current state

• AI Usage: See Claude and Codex usage, current & weekly usage

• Agent Status: Get notified when you AI agent completes the work, needs attention with sounds

• Teleprompter: You can control speed, size of the text and much more

• Linear: Login with linear and get notified if you are mentioned, you can directly reply from the notch or jump to the comment inside browser

Comparison:

We have lots of dynamic islands, but none of them aim to extend it to make it programmable. many of them are paid.

Price: Free to Use

Download: https://dynamicisland.app

Github: https://github.com/shobhit99/SuperIsland

Leave a star if you love it! I will be adding more extensions every week. so keep an eye on the updates.

Love the "ambient accountability" idea turning a reflexive action (opening a new tab) into a moment of intentional awareness. I've noticed the products that actually change behavior are the ones that insert themselves into existing habits rather than asking you to build new ones. Does this sync with any external goal or habit trackers, or is it self-contained?

A must have extension for your browser!

In the age of "ADHD brain", this feels genuinely helpful in getting work done and avoiding unnecessary distractions. Especially as a fellow founder, I end up spending a lot of time opening a tab to do one thing and then seeing all these news popup, social feeds, etc that take my attention away.

Looks really sleek and exactly the kind of per-project view that I wanted

super cool! feels like a super power to run tabs like this!!!

Sounds mad cool, I'll give it a try. Is it Chrome only?

Super cool. I find that local implementations are very limiting, since I am using multiple devices daily. Is the AI repair related to managing version upgrades? I am building klodi, a plugin for openclaw (agentic marketplace), and version upgrades are my biggest headache tbh.

Hey Product Hunt! 👋

Nishit here, Co-founder & CTO of @Kipps AI .

Let me tell you about Raj.

Raj runs a mid-sized travel agency in Mumbai. 12 people on his team. Hundreds of inquiries every day — WhatsApp messages, website chats, missed calls. Business was growing, but something felt off.

Every Monday morning, his team would huddle, and someone would say, "Did anyone reply to this guy? He messaged three days ago."

Silence. Then panic.

Raj wasn't losing customers because of bad service. He was losing them because conversations were falling through the cracks between apps, between teammates, between shifts.

Sound familiar?

That's exactly why we built Kipps Inbox.

One mobile app. Every customer conversation — WhatsApp, website chat, inbound calls — in a single place. AI handles the volume 24/7, so nothing goes unanswered. When a conversation needs a human, your team jumps in with one tap, full context intact, no awkward "sorry, what was your question again?"

Raj's team stopped missing leads. Response time dropped. And Monday mornings got a lot quieter.

We're a small team that's been building in public for 2 years. Every feature in Kipps Inbox came from a real conversation with a real business owner like Raj.

If any part of this story sounds like your Monday morning — I'd love to hear it below 👇

And if it resonates, an upvote means everything to us 🙏

— Nishit

Kudos to the team. The single-tap handoff with full history is really interesting, since most "unified inbox" tools drop the context when a human takes over. What does the handoff look like on the agent side, does it show the full AI conversation inline or in a separate view?

The AI to human handoff in one tap is the feature I didn't know I needed. Every tool I've tried either goes full AI or full manual. The switching always felt clunky. This looks different.

the local-first approach is the right call for anything handling personal media. the EXIF toggle would be a meaningful addition especially for photo libraries where capture date and location are the whole point of the file. curious whether you plan to let users choose per-format or as a global setting across a batch.

Hi Product Hunt! 👋 I'm Zhasulan, 17 y.o founder from Astana, Kazakhstan, builder of KodHau.

At 16, I led 12 developers, worked as Team Lead at a venture studio, across teams — and we used AI agents for coding, but they kept breaking our production because they had no idea what our team had already tried and rejected.

That's the knowledge problem. Tribal knowledge. Context about your codebase lives in people's heads and in discussions around the code - PRs. Not in the docs, or wikis. They get updated only when there's time.

KodHau is an MCP server that gives your AI agent access to your team's decisions, workarounds, and rejected approaches buried in years of GitHub PR history. Before your agent touches a single line of code, with KodHau it knows why the code is written that way by your engineers.

The proof: I used KodHau to fix an 8-month-old bug in Microsoft's .NET runtime, their flagship repo. Someone else tried fixing that issue already — 200 lines of code, wrong approach, abandoned. Our fix was 7 lines. KodHau found decisions Microsoft engineers made 4 years ago for this fix. And the same applies for ANY repo.

2-minute setup. Works with Cursor, Claude Code, any MCP client.

Happy to answer questions about MCP, GitHub API, or how tribal knowledge injection works 🚀

Congrats on the launch bro

PR history as memory/context for AI agents is actually such a smart idea. Most AI coding tools understand the code, but not the reasoning behind the code or why certain approaches were rejected

Rooting for this one fr

The knowledge problem is the biggest bottleneck for AI right now. I’m tired of Claude Code suggesting a refactor that we already tried and rejected three months ago in a PR. 😅 Having an MCP server that actually looks at why decisions were made is a massive unlock for team productivity. Support on the launch, @zhas_srk

Congrats on the Launch, Zhasulan!

Congrats on the launch, Zhasulan!
Very impressive!

Hey Product Hunt 👋

I'm David, the solo maker behind Socrati. I built this because I kept wanting to learn when I wasn't at my desk — on the bus, at the gym, or in bed at the end of a long day, too tired for a screen but happy to put headphones on and let a lecture play in the background.

Drop in a PDF, a YouTube link, a photo of a page, or a topic you type in, and Socrati builds you a full course: narrated audio lessons, drills, flashcards, and spaced repetition to bring it back before you forget it. Live on iOS and Android, in six languages.

Genuinely keen for honest feedback. I'll be here all day. Roast it, question it, ask anything.

— David

What I like here is that you’re not just turning content into audio, but you’re building actual retention into the learning process. Most people take in information passively and forget it a few days later. The spaced repetition and interactive drills is what makes this feel genuinely useful for long-term learning, especially for people trying to learn while away from their desk.