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AI pricing today doesn t fully reflect real cost.

Some reports and industry estimates suggest that real inference cost can be 5 10x higher than what companies currently charge, depending on model size, context length, and infrastructure load.

So the market is not really stable yet.
It s still in a growth phase, supported by subsidized pricing and scale.
And usage is already massive.

Most of you probably saw this report:

Two things happened at the same time recently, and most brands have only noticed one of them.

First, the scale of AI agents BrightEdge data shows AI agent requests reached 88% of human organic search activity and are projected to surpass human-driven search by the end of 2026 . As Jim Yu, CEO of BrightEdge, put it: "If you block or fail to optimize for these agents, you're not blocking bots you're blocking customers" .

Second, the market is hiring for a new role Writesonic has an open position for a "GEO Strategist Enterprise AI Search Consultant." CSP Agency is hiring an "SEO & GEO Strategist" with a "human-first, AI-enhanced approach to organic growth."

Here is what this tells us.

A few years ago, I was building a consumer transportation startup in Asia, and ended up raising $12m in a Series A financing from First Round Capital. For context, we were looking at investors that had done well in our sector (consumer transportation), and First Round had invested in Uber at Seed.

With my second startup (Metal), we have built the AI-native operating system for founders raising VC that we wish had existed when we were raising for our first startup. The below write-up provides a playbook for founders raising Series A/B/C rounds (based on lessons learned from raising nine venture rounds over the past seven years).

I've been going deep on Telegram as a prospecting channel and I'm curious how others handle it.

The problem I keep hitting: Telegram communities are full of buying signals people asking for tool recommendations, complaining about a workflow, looking to switch vendors but reading every thread manually doesn't scale, and scraping members is spammy and mostly useless.

Ten replies in on X, still at 10 followers, so I stopped guessing and pulled the actual numbers.

The spread on real replies I posted: one got 2 views under a 1,100 view post. Another got 2 views under a 5,842 view post. One got 1,204 views, replying under a post at 1.9 million views.

Every one of them landed at roughly 0.03% to 0.17% of the parent post's reach, no matter what I wrote or when I posted it. My own follower count never showed up as a variable at all.

The harder part: even the 1,204 view reply got zero likes and zero replies back. So reach was never the actual bottleneck, whatever I said in the reply was.

My instinct is always to polish. I want the first thing someone sees to be good, because I figure you only get one first impression and an embarrassing v1 sticks to you.
But almost every product I actually respect started out rough. The early versions were janky and half-broken, and the founders shipped anyway because real users teach you things a year of polishing never will.
So I go back and forth on this constantly.
The case for shipping ugly is that you stop guessing. You find out what people actually care about instead of perfecting features nobody asked for. The case for waiting is that a bad first experience can kill momentum before it ever gets a chance to stick, and you don't always get told why people left.
I think the answer depends on how reversible the launch is. A small audience that forgives you is very different from a big public moment you can't take back.
But I'm probably biased toward polishing longer than I should, and I've definitely buried good ideas thinking they were not ready yet.
Where do you land: ship the ugly version and learn, or hold it until you're proud of it?

See our full changelog here: https://www.basedash.com/changelog

Edit charts directly in chat

You can now refine a chart without starting over. When you ask the assistant to tweak a chart it already made in the current conversation, it edits that chart in place instead of spinning up a brand-new replacement so iterating on a visualization feels like a real back-and-forth rather than a growing pile of near-duplicates.

When we first launched Murror, we measured success the way most AI products do: how much are users interacting with the AI? How long are the conversations? How many follow-up questions are they asking?

The numbers looked great. Users were writing long entries, the AI was generating thoughtful reflections, and people kept coming back. We were building the world's best journaling chatbot.

Hey everyone thanks again for the launch week love it genuinely meant a lot.
We hit #13 on Product Hunt on launch day, and that was all you

The #1 thing people asked for after launch: "can I highlight more than just the cursor?
" So that's the headliner of v1.7

Region spotlight dim everything except an area you pick. Perfect for zeroing in on one part of a slide, a UI, or a doc.

Over the past few months, I've noticed that AI coding tools are excellent at generating code, but they still struggle to keep context across larger projects. That often means spending time re-explaining the codebase instead of moving faster.

I'm curious whether others have noticed the same thing, or if you've run into different limitations. What's the biggest issue you've experienced?

Is this normal? I'll be honest I rarely scroll down and click 'show-all' before today. That's a mind-blowing amount of work and dedication that likely won't get much spotlight in the heat of competition.
Do you have any tips for finding the diamonds? Is there anything we can do in the community-sense to ensure good products get seen?
It's suddenly feeling rather intimidating to launch a new product.

Over the last decade, countless people have launched products here every single day, so there's certainly no shortage of inspiration.

And I have to say, the bar keeps getting higher (helped in part by the fact that some launches are filtered through the Featured section).

Oxlo.ai is now live on Product Hunt!

We're excited to launch and would love your support. If you have a minute, please check us out and give us an upvote, it would mean a lot to the team!

https://www.producthunt.com/prod...

Thank you for your support!

So lately we have found out that startups - specially YC startups, ask people to come to office in the "office days" where they ask the candidates to solve JIRA tickets and also give them a sandbox environment

I feel they are just trying to guage how people will perform and work when they come and join them

We're launching 8 new features over the next few days and these are what you asked for:

REST API - Connect IvyForms to anything

Zapier Integration - Automate your entire workflow

Coasty is also available as an API.

You send a task in plain language, the agent gets a fresh environment, does the work, and returns structured results plus a full action log. Every click and keystroke is recorded, so you can replay exactly what the agent did. Setup takes 2 to 5 minutes per environment, then the agent runs unattended until the task is done or it decides a human should take over. You can switch out any part of the harness and use/call whatever you need. Completely modular and transparent with the pricing at the end(Doc) for every type of call.

Docs are at Coasty/Docs. The quickstart gets you to a first running task in a few minutes. If you build something with it, tell me. I read everything in this thread.

The more users we spoke to, the more we realized something important:

The biggest challenge isn t writing code anymore.

AI already helps with that.

The real challenge is understanding whether that code is healthy.

As a European citizen, I think we need to look at the current situation clearly.

I m from Hungary, a country where the previous administration became well known for strongly criticizing the EU. But this post is not about that political debate.

Hi everyone!

News #1: ArkTabs crossed 2000+ users with 96% userbase in US.

News #2: Arkida Mockups is launching on Product Hunt this Monday! https://www.producthunt.com/prod...

Follows, comments and shares would be highly appreciated! The more popularity it get, the more features it will get.

CipherLock v1.2 is here. Same promise (encrypt and learn, 100% in your browser, no accounts, no tracking), with a lot of new things since launch.

SHARE AN ENCRYPTED MESSAGE WITH A LINK

Encrypt something, copy the link, send it. When the other person opens it, CipherLock fills the tool and reveals the message automatically, framed right where you can read it. The encrypted payload travels inside the URL fragment, so it never reaches any server. Native share sheet on mobile, WhatsApp and X on desktop, or just copy the link.

NOW IN 9 LANGUAGES

Hey everyone,

First, thank you. Your support during our launch pushed HyperSleep to #4

Product of the Day, and it genuinely meant a lot. Here's what we've been

Dropping another new feature this week: Image to prompt.

Upload a photo, screenshot, or visual reference and Pretty Prompt reverse-engineers it into a prompt for image models. Great if you know what it looks like, but don't know how to describe it.

It started with a phone call from a close friend from my PhD days.

After a little chit-chat and a lot of catch-up, he asked me if I wanted to build something that actually helps people. Not in a vague, hand-wavy way but genuinely does the things you don't want to do yourself, and helps you do the things you actually care about, better.

A few weeks ago, one of our developers pushed a refactor touching one of the agents Latitude runs in production. It looked harmless in review. Every request kept going through and latency stayed flat, but the prompt cache hit rate (how often an AI successfully reuses its cache instead of rereading information), which is normally above 80 percent, fell to 30. For perspective, cache reads cost about a tenth of what fresh input tokens do, so the drop tripled our effective token spend on the same traffic.

Thankfully, a monitor in Latitude was watching that rate and the drop opened an incident which, in turn, dispatched Claude Code in the cloud, and a few minutes later a pull request appeared that restored the cache structure the refactor had broken. A developer reviewed the change, merged it, and the hit rate recovered within the hour.

Changes:

- During installation the extensions that require external programs (binaries) to work, will ask if you want to specify the paths to local binaries manually or continue with auto setup

This allows to reuse existing binaries, instead of automatically downloading them