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Most have garbage terms lifetime deals, 70% commissions, heavy discounts. The math doesn't work unless you're already at scale, and by then you're locked into bad contracts. Wondering how many founders realize their unit economics are actually just paying off vendor debt.

Hey there,

Bit of context first: I am a member of a 30 people+ team and most API clients we used felt like they were built for a different job than what we actually did.

Recently our team concluded in our peer-reviewed research that that code health determines AI-performance. The study "Code for Machines, Not Just Humans: Quantifying AI-Friendliness with Code Health Metrics" concluded that when agents operate on unhealthy code, the defect risk increases by 60% (at least).

It s was a large-scale study of 5,000 real programs using six different LLMs to refactor code while keeping all tests

passing.

Makes me wonder if we're all pitching too hard and not demonstrating enough. Anyone else noticed this pattern?

We ve been seeing a consistent pattern across agent systems:

GPT-5 works well as a judge on average cases
but breaks down on edge cases and policy boundaries.

That s exactly where reliability matters.

In our recent work, we took a different approach:

But the ones actually landing bigger contracts show clients what their market is saying about them first then the creative makes sense. I've been thinking about how MentionFox could be the intelligence layer agencies pitch before the deck.

I'm a non-technical founder (well, semi-technical I can read some basic code, but writing it from scratch isn't my thing).

A few weeks ago, I launched Belink, a free link-in-bio tool that competes with Linktree.

The entire thing was built using Manus, an AI agent that writes code, deploys it, and manages your project end-to-end.

How much do you spend on monthly subscriptions?

If you re already on a premium plan like Claude Max or ChatGPT Pro, stick with it, unless you really want to optimize your "vibe coding" workflow.

We ve spent the last few months moving our Google Workspace tools over to the Model Context Protocol (MCP). While the potential for 'agentic' workflows is huge, but the friction of working on the edge of a new protocol is very real.

For those who haven't dived in yet, the biggest hurdle we found was the Remote vs. Local setup, rather than the protocol itself. Most tutorials focus on local command-line installs, but for a production-ready SaaS, you have to build for remote MCP servers. This requires a completely different approach to authentication and persistent state that the current docs don't fully cover yet.

Hi everyone, I was responsible for a launch in November 2024 which did very well and would love to get your guidance on the main differences and best practices on how to perform well on our Product Hunt launch. As this is my own company now, would love to hear your guidance!

I noticed that the teaser pages do not exist anymore so I guess the message to audience and sharing teaser page does not make sense anymore. Any other things that matter now / differ?

I've been self hosting automation tools for years. But I see many developers and non technical users struggling to get started with open source AI agents (n8n, OpenClaw, etc.).

You want the control and privacy of self hosting, but the reality is:

• You need a server, Docker, SSL, backups, and monitoring.

• Updates break things.

• Security is on you.

So I'm curious for those of you who have tried (or wanted to try) self hosting an AI agent:

I spent 25 years on construction sites. Today, I don't write code I orchestrate it.

While my latest launch ('What Do I Say?') was trending on PH, I spent the afternoon using agentic loops to build a Full-Stack AI Navigation App.

The Stack:

• Backend: Real-time Google Maps/Waze data orchestration.

• UI: High-end 'Co-Pilot' dark mode dashboard with 2D/3D perspective switching.

• AI Layer: A multi-intent voice brain that handles routing, traffic interrupts, and 'Pit Stop' predictions.

• The Result: A production-grade, voice-first navigator built without writing a single line of manual code.

In MentionFox.com, we can usually identify startup founders, medical doctors, interim CEOs/CFOs, professional sports players, recruiters 29 personas we have built custom war rooms for we call them Fox Dens: your home for engagement, for developing yourself in the public s reagrd as a though leader in your chosen carreer path* you can self-declare persona, though we usually deduce from info you provide in the onboarding. 

* Coming Soon: tools for those who have no effing idea what to do with their lives.

great indication on where they see the biggest opportunities right now.
Here is the latest list:
1. AI for Low-Pesticide Agriculture
2. AI-Native Service Companies
3. AI Personalized Medicine
4. Company Brain
5. Counter-Swarm Defense
6. Dynamic Software Interfaces
7. Electronics in Space
8. Hardware Supply Chain
9. Industrial Capabilities in Space
10. Inference Chips for Agent Workflows
11. SaaS Challengers
12. Software for Agents
13. Startups That Want to Sell to Huge Companies
14. Supply Chain 2.0 for Semiconductors
15. The AI Operating System for Companies
details here: https://www.ycombinator.com/rfs

I have been noticing a lot of fake testimonials on many of the recently launched products. It went from mild annoyance to pure concern. Wrote a small piece on it. I would love if every one of us starts calling it out more.
Link to the article if anyone is interested : https://medium.com/design-bootca...

I got frustrated watching 10% disappear on every digital sale I made. So I built my own platform.

Launching PayLink on Product Hunt this Tuesday the simplest way to sell digital products with just a 3% fee and no monthly costs.

Curious from this community what's the biggest frustration you have with platforms like Gumroad, Etsy or Teachable? What would make you switch?

Would love to hear from anyone selling digital products.

Claude just shared this with me. "unrestricted push" - cannot get that to work. Anyone have workarounds?
Trying to get my claude/claude code productivity up, so I have Claude tasking claude code, and using the newly-updated desktop app.

We see several new tools launching every week, and many do a great job at telling us whaere our sites stand in the AI search tools like chatGPT, Gemini, Grok, Claude, etc. The best of them give us...
WORK TO DO
Yes, they are good at telling us what to fix, what to build, where to publish, what's missing, right - because we don7t already have enough to do...?
I genuinely want to know if I'm wrong, but I know of nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors' offerings. Do you? Please do share in the comments. Yes, we are prepared to prove it.

Hey friends,

Just a small PSA, hunter leaderboards are now back on hunted.space/top-hunters
Now we can all see how far ahead @chrismessina is at this .
If you have any feature requests, please let me know!
Cheers,

Dan

I ve been exploring ideas around building smarter add-ons for Strava and smartwatch apps, especially features that go beyond tracking and actually help people stay consistent.

Most fitness apps are great at collecting data such as pace, heart rate, distance but they don t always help on low-motivation days or prevent burnout.

From a product perspective, I m curious:

• What s a feature you wish existed that would actually change your behaviour?

• What would make you open the app daily?

• What insight or nudge would feel valuable enough to pay for?