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~2x faster conversion while the others designs all floundered. That was the result of simulations doing the talking while building password only access for Vibe Check instead of arguing in circles.

"Failing" designs cost the collective time of every user and then again by a Product team working on needless iterations. We ve baked this simulation first mindset into our new tool, Vibe Check. We launch on Product Hunt tomorrow! Support us and ensure actual conversion on your next product designs.

Questions:
-> Ubuntu + x86_64 only. No ARM, no Mac (unless you run a VM) that cuts out a big chunk of hobbyists and researchers right away
-> Prompt sensitivity is a real concern if vague prompts give generic results, the "just describe it in plain English" pitch needs some asterisks
-> Multi-robot setups are experimental, which is a big gap for anything beyond single-robot prototyping
-> Requires internet to process every prompt so your AI copilot goes dark without a connection, even for local sims
-> Still early (v1.0.15 beta) rough edges are expected, but production teams should be cautious
-> The 60% stat frames simulation as a problem to skip, not a skill to build engineers who skip that struggle badly at sim-to-real transfer
-> Terminal-only, Gazebo-specific workflow is a hard limit if your stack uses Isaac Sim or Webots
-> And any proprietary AI agent in your core workflow = vendor lock-in risk
Curious how it handles URDF validation and collision mesh accuracy?
None of these are dealbreakers for students or solo researchers. But for engineering teams evaluating it seriously, these constraints matter.
Answers:
1. Our initial reach is for robotics developers who already use ROS and simulators, so they are already on linux. Most of the robotics frameworks are optimised and built for linux. You will have a hard time figuring things out on Mac with the all the open source tools and libraries.
2. Definitely. The more articulate you are with explaining what you want, better drift will run. "describe in plain english" is to communicate that this is better than before where devs have to hustle on their own.
3. Yes, and that is why we are solving it, and making this better.
4. We are working to bring integration for local deployments.
5. We are monitoring all bugs and crashes in production.
6. The skill to master simulations is not to be skipped at all, we want to accelerate the skill up instead with Drift, so that engineers actually focus on the physics and behaviour of robots in the sim.
7. That's why we are bringing MuJoCo, Isaac Sim and other simulators and plugin support really soon.
8. If the vendors are getting your work done from months to days, that is not a worry. And we will always have competitors so you have plenty of options! :)

Let me start from the creator s perspective:
I personally don t have a product (apart from hiring people for creative work or offering personal consultations).

But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

With AI bots getting harder to detect, there s been growing discussion around platforms using biometric verification (like face scans) to confirm real users.

Cool in theory... Reddit is full of bots, fake accounts and garbage engagement. But let s be real

Reddit without anonymity isn t Reddit.

I was on a call with a founder and they asked me to turn on my camera on Google Meet.

I said no citing that they have brought in the call recorder without my consent. I consent for voice recording and summarizing, not video capture.

I've noticed a trend where CEOs of well-known companies are investing more in their personal brands on LinkedIn and X.

However, the level is increasing, and they want something similar from employees.

Launched last week, open-source frontier model @MiniMax M2.7 scores 56.2% on SWE Bench Pro, converging towards the best proprietary models like @Claude by Anthropic Opus 4.6.

hi everyone! blown away by the response here, thank you for 110 upvotes and a bunch of thoughtful comments

a few features were asked for, that I will be actively working on -

based on your feedback:

While I pride myself in Clarity being the first of it's kind, I'm also extremely excited that we are currently building the worlds first data set of verified caffeine products and spotlighting brands for actually knowing the caffeine content of their drinks.

There are some other 'caffeine trackers' in the wild, but they all pull their data from the same available data set which is unfortunately not accurate. Clarity will only feature brands and products that know their caffeine content, this allows you to make truly strategic decisions about your dosing and timing.

If you re still sitting on your launch, this is the push.

YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.

When we started building Murror, I made the same mistake most AI founders make: I marketed the technology.

"Powered by AI." "Smart algorithms." "Personalized insights." All the buzzwords. And you know what happened? Crickets.

I've been going through hell for the last month. I was banned from LinkedIn for excessive activity.

• For 24 hours

• For 48 hours

• For 72 hours

• For 168 hours - currently waiting until Tuesday, 10 PM CET.

The only useful advice I've received from support is to be less active.

We spent the last 4 months tracking 473 pieces of AI-generated content across our own site and customer sites. 218 got cited by ChatGPT or Perplexity. 255 got ignored. 12 got flagged in reader feedback as "low quality" or "clearly AI."

We wanted to understand what separates the ones that work from the ones that don't. Here's what the data showed.

The content that got cited

Three things stood out.

A Complete Guide to AI dictation for Mac

Last month, I did something that felt slightly insane.

I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor. Better features, better positioning, better everything. I told it to be ruthless.

It did!

The output was polished. Confident. Structured like a real go-to-market plan. It named features we don t have. It positioned itself against us. It looked like a threat on paper.

@MindPal builds the AI agents and workflows trained on your knowledge.

@Lovable builds the interface from one generated prompt.

There are so many launches on Product Hunt every day. How do you decide which ones are worth clicking into?

What s your #1 filter or shortcut?

Radion has leveled up again and it s more powerful than ever
Version 5 introduces Nintendo game imports along with automatic progress syncing , making it easier than ever to keep your library up to date .
This release also includes many improvements and features shaped by your feedback
Check it out now: https://radion-app.com
What s new:
- Import your games from Nintendo Switch, Switch 2, Wii U, and 3DS
- Automatically sync your Nintendo game progress
- Edit or delete backlog games directly from the game details page
- View estimated playtime in the progress picker
- Access the comment badge on all backlog games
- Edit comments directly from the backlog game card
Improvements & fixes:
- Larger, easier-to-tap close button
- Fixed missing achievement translations
- Fixed expired session issues for Xbox, Steam, and PlayStation Radion will ask you to reconnect if needed
- Security enhancements
- Performance improvements
Thanks for using Radion!
Good Game

I ve been spending more time vibe coding recently, and I ve started to question something I initially took for granted. Most of the conversation around vibe coding is about speed. Like how quickly you can go from idea to prototype, or how fast you can iterate. And to be fair, that part is real. The barrier to building has clearly dropped.

But the more I use these tools, the more it feels like speed isn t the limiting factor anymore.

The real constraint seems to be taste.

• what do you choose to build?

• what do you keep vs discard?

• what actually feels right vs just working ?

• what is genuinely useful vs just impressive in a demo?

TL;DR: Anthropic refused to sign a contract with the Pentagon that would have allowed the U.S. military to use all of its models without restrictions. Anthropic insisted on an exception, and brace yourself, that its models cannot be used: 1) for mass surveillance of citizens, 2) for autonomous killing. Now the administration is threatening that if the founder of Anthropic doesn't change his mind by a certain date, they will come after him.

Google, OpenAI, and Musk (Grok) have all signed the contract.

Following Sam Altman's announcement over the past few hours, people have been speaking out massively about cancelling their OpenAI subscriptions and subscribing to Claude.

Most teams scaling Voice AI think they can monitor quality with a simple LLM prompt. They are wrong.

An LLM can t hear a "crunchy" voice line, it can t accurately measure a 500ms "barge-in," and it struggles with the nuances of true conversational flow.

When we built Cekura Monitoring, we realized we had to go beyond the LLM. We combined Heuristic and Statistical models with our Metric Optimizer to solve the "Scaling Wall."

I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.

Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!

Testing between the two - would love to know your thoughts!

Hey all,

I wrote a forum post not long ago on marketing as one of the rising in importance hires for all startups. This is all the things we've done, with some results and free resources.