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Everyone's talking about how easy it is to build with AI right now.

Spin up an agent, write a prompt, ship. Done.

But if you've actually deployed something in the wild built mostly by AI, you know it's more complicated than that. Especially when you care about quality.

I've been working with LineageLens and just added a custom agent adapter so our internal CLI tool is attributed with prompts, model metadata, and confidence evidence. The registry design makes this surprisingly low-friction: implement a detect(input) that returns a NormalizedAgentContext (tool name, model, session ids, confidence, and evidence), register the adapter, then run the quickstart proxy to validate captures.

Why this matters: your team can capture private or bespoke tools without sending data to a vendor, and you get prompt code linkage in PR reviews and dashboards. I followed the recent repo changes (custom agents landed in late May) and found the adapter API predictable: detection should be conservative, emit evidence items, and choose appropriate ordering so your specialist adapter wins over the fallback.

If you ve extended LineageLens for an internal tool, what heuristics did you use to build confidence and avoid false positives?

• The Multi-Agent Orchestration

  To get the most out of Orchestria, it helps to understand how the platform translates your natural language inputs into musical structures. Unlike typical AI generators that analyze your prompt to synthesize a single audio block, Orchestria uses a multi-agent framework to break down your request. The Conductor agent reads your prompt to determine musical parameters like tempo, key signature, and genre, while subsequent agents program drums, compose melodies, and mix the track using virtual instruments. Writing a good prompt is simply a matter of feeding these agents the right details.

• Defining Key, Tempo, and Energy

  You can control the technical foundations of your track by specifying the tempo, key, and style. If you want a specific BPM or scale, such as 140 BPM in F minor, you can state it directly. If left unspecified, the Conductor will infer these based on the emotional cues in your prompt. For example, keywords like melancholy, dark, or emotional will automatically target slower tempos between 60 and 100 BPM, whereas terms like banger, hype, or club will push the tempo into faster ranges and request aggressive drum patterns.

• Routing High-End VST Instruments

  Orchestria allows you to route specific software instruments to different layers of your song. By default, the system uses Pianoteq 9 for primary melodies to ensure realistic, dynamic keyboard performances. You can request background synthesizers by naming them or describing their character. For instance, asking for analog synth layers routes background pads to Diva, specifying FM keys or bells triggers Dexed, and asking for modern texture pads routes them to Surge XT. For the low-end, requesting sub-bass or 808s will route the bassline to Vital.

• Customizing Mix Presets and Automation

  You can describe the sonic character of your mix to control the dynamic FX rack. Using terms like clean, energetic, dark, or warm vintage will load matching EQ, saturation, and reverb presets. You can also prompt for filter movements, such as asking for a filter sweep on the intro or an automation swell on the drop.

• Exporting Your Stems

  Once the system finishes rendering, you receive the full track along with sample-accurate, individual stems in professional WAV or MIDI formats. This gives you complete freedom to mix, arrange, and edit the project in your own DAW.

Visit: Orchestria

1. I've always been on the personal brand side. More and more founders are building it now (sometimes even before the product is ready while it's still in development, before seed fundraising). The CEO builds their position so the product sells more easily at the official launch.

2. But I have experience with people who built the product, scaled it, and only then did we discover who was behind it.

Honestly, with the first approach, I'd be concerned that people invest more in me as a person than in the product. People would idealise the founder and overlook the product's flaws (which could hurt development and constructive feedback).

+ I noticed the most common mistake that many people who started building a personal brand first, connected their product to their personal accounts (emails, social media, etc.) and started having a problem selling these things, because they cannot "give someone keys" to their personal profiles.

On a Tuesday, the first enterprise question is usually not can you capture AI code? It s who can see the records, how long do they live, and what happens when a policy blocks a change?

That s the part LineageLens is built for. Base gives you local capture. Lite gives a shared team record. Plus and Max move the data into a backend where auth, permissions, retention, and policy live next to the provenance records instead of around them.

The useful thing here is not another dashboard. It s a self-hosted record of prompt, model, tool, file, and outcome that engineering, security, and platform teams can actually govern on their own infrastructure.

I keep seeing AI governance tools start with visibility, then discover that the real enterprise questions are identity, retention, and review. If the record cannot be scoped, retained, and exported on your side, it is not really governable.

We teamed up with Vercel and we want you shipping this Friday.
May 15 is Vercel Day. Launch your product on Product Hunt that day with the Vercel Day tag and you're on the official Vercel Day leaderboard alongside every other builder going live that day. Top launches win prizes and get serious visibility from a crowd that's already paying attention.
This is the move if you've been waiting for a reason to launch. You've got four days.
What are you building? Drop it below

I went quiet here after 0.22. We're on 0.25.5 now, and most of what landed in between is the unglamorous stuff: speed, reliability, and getting out of your way. Here's what actually changed if you've been away.

A lot of people try to raise funding before they even begin.

And then sometimes I read those zero to hero stories. (Maybe they re a bit "polished" by the media to have publicity.)

In any case, building products has become much easier from a technical perspective, which also makes it cheaper especially for software startups.

One thing that surfaced while tightening LineageLens this week: capture is not the hard part. Agreement is.

If the extension, backend, and MCP server describe the same AI edit with slightly different field names or status values, you do not have provenance, you have three believable stories about the same event. That matters because reviewers and assistants start trusting whichever surface they looked at last.

The question I keep coming back to is simple: if a record can look applied in one place and accepted in another, is that still a single source of truth?

There are founders you d love to NOT work for. And then there are founders whose company you wouldn t want to leave, no matter what.

A big part of that comes down to people, their values, and their character.

And often, that starts with the founder.

DROP used to be simple.

You uploaded files. You shared them. People opened the link. Nobody needed a training video, a webinar, or a small emotional support group.

2 significant things are circulating on the internet simultaneously this week:

• A tweet about how a human beat a machine (a 10-hour livestream in which a human sorted packages and compared it to the productivity of a robot).

• Or an announcement of a Microsoft AI chief that predicts AI will automate most white-collar work within 18 months.

While I don't think there will be a complete replacement of humans in either case, I do think we will see mass layoffs. My guess is that it will be white-collar jobs first.

AI is incredibly good, I d even say almost perfect.

And for many people, that uniformity of perfect templates is starting to feel annoying.

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

There seems to have two types of developers:

• Human in the loop: Those who like to control the behavior of their agents as it works, looking at the context usage, reading reasoning blocks, and approving individual file edits.

• Agent first: Those who prefer to review the output of agents, rather than individual actions, and run one or more sessions in parallel.

What type of developer are you when working with AI coding agents?

I will go first.

"Do you do backlinks?"

Every week. Sometimes every day. From prospects. From agencies. From people who read one SEO blog post from 2018.

Backlinks are not the problem. Backlinks are a solution to a problem that has changed.

We ve all been there: the engineering team ships an incredible feature, the marketing team blasts the launch, the metrics show a temporary spike in usage-and then... nothing. Silence. The feature slowly turns into product debt, and the actual value delivered to the user drops to zero.

As builders, we are constantly obsessed with shipping. We measure velocity, sprint completions, and launch dates. But somewhere along the way, we forgot to measure whether the things we build actually move the needle for our users bottom line.

Tomorrow is Alpha Day

Same deal as before. If this is the first time your product is going anywhere public, launch by midnight tonight (PT time), add the Alpha launch tag, and you'll be put on a special leaderboard. Alpha launches also get a boost on the leaderboard

Yesterday s discussion about who is more likely to be replaced (white-collar vs. blue-collar workers) raised another question for me.

So I m asking:

What do we need to do to keep our jobs in the age of AI and robotisation?

AI has undoubtedly made our work easier and faster.

An article that would have taken me several days before (defining the topic, doing research, interviewing experts for unique insights, validating data, and writing the final piece) can now be turned into a solid article in under two hours. (in my case, when I publish a weekly newsletter)

Hey PH, we've been blown away by the response to our launch :) thought to share a quick update on what's happened since:
User success:
-we had a huge user spike: 250+ new companies are using Causo for fundraising since our PH launch
-we're seeing that many people join early, look around the investors database, then convert once they're ready to actively raise
-we saw users send out 400+ investor emails and get 26 replies; avg reply rate of 6.5%

New stuff:
-Ivan and I have drank SO much coffee, deepened our eyebag colour significantly, and shipped a bunch of stuff:
-one-click connect for Microsoft inboxes
-50+ new free resources for sales and GTM over at https://hub.causo.ai/
-bunch of UI fixes - thanks so much for everyone who had feedback, it was all so helpful!
-we're rolling out Causo for Sales in early access: tell Causo who you need to reach, Causo finds people and writes to them. Similar no nonsense AI raccoon stack, but now for b2b sales instead of VCs.
If that sounds interesting (who doesn't need more leads) drop us a shout, we're onboarding first companies selectively :)
Back soon with another raccoon update!

I'll go first,
During the launch of @Bitgrain , I thought maybe some 10 20 people might upvote or it can be even lesser, Surprisingly it got featured and the numbers went up crazy! I got mails from people who loved the product. It was unexpected but loved it!
btw do see @Bitgrain : )

"AI models change. Great workflows don't. Build, ship, and iterate with any model, everywhere you work."

@Kilo Code just launched a new kilo.ai. - WDYT?

Spotify started the disco ball party last week. Notion, MoonPay, Uniswap joined. Even Lovable showed up late with a tool to discomorph any logo. 

I feel like the weird lonely dude on the Product Hunt dance floor.

If you're launching soon, drop your disco ball logo in the comments
Use: https://discomorphism.lovable.app

We've teamed up with @Y Combinator or to give builders one more chance.

Launch on Product Hunt this Friday, tag your post "YC application" @gustaf will personally review the top launches. One or more will walk away with a YC interview, even though the official deadline has passed.