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Hey everyone, Siddhant here, founder of @PeakRoutine

First and foremost thank you.

We genuinely never imagined we'd crack the top 10, let alone land at #4. The engagement, the comments, the kind words you made our day, and we mean that.

Some of the feedback we received left us both surprised and deeply moved. It's one of those rare moments where you realize the work you've been quietly doing in the background actually resonates with real people.

We re doing the second Raccoon o clock session.

First one was mostly around fundraising, early founder problems, and general how do I not waste 6 months doing the wrong thing chaos.

This one will be more GTM focused.

Most AI memory tools store your data on their servers. That means your context, decisions, and personal knowledge live in someone else's infrastructure, governed by their retention policies, subject to their pricing changes, and potentially readable by their team.

Second Brain v2 runs entirely on your own Cloudflare account.

It's been some time since we launched Tyto (getting #15 on PH!). Now we would like to hear from you - did you get a chance to try it yourself already? If not, what was the blocker, how can we help you to get there, what are you missing?
Let us know!
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Additionally, I've compiled here the list of top currently available resources on Tyto and ai-coustics SDK to help you get started.

• Tyto documentation

• Launch blog with samples

• Post-call analysis tutorial

• Live demo app

People are choosing the platforms and communities where they feel most connected. Some are on X, others on Bluesky, LinkedIn, Threads, Mastodon, TikTok, Instagram, YouTube, and whatever comes next.

But something important gets lost when we only look at social through dashboards and numbers: the people behind the engagement.

When we launched Murror's delete feature, we thought of it as housekeeping. Users write messy drafts, clean up later. Standard stuff.

Then we looked at the data. About 15% of entries were being deleted within minutes of writing them. Not drafts. Not typos. Full, completed entries that users wrote, read back, and chose to erase.

The one where Skim finally learns that not every mail server hides behind implicit TLS. Turns out port 143 has feelings too.

Fixed

• IMAP on port 143 now just works. Type 143 and Skim used to fire a TLS handshake straight at the server's plaintext greeting, then fall over with the delightfully unreadable received corrupt message of type InvalidContentType. Now Skim reads the port and picks the transport for you: 143 STARTTLS upgrade (connect in the clear, read the greeting, STARTTLS, then handshake credentials never leave before the tunnel's up), everything else implicit TLS, exactly as before. No toggle, no new setting, no "which encryption mode?" quiz. The client decides, because that's the whole point. (#19)

• Errors that speak human, not TLS. Server won't do encryption on 143? "Try IMAP port 993." Plaintext greeting where a secure port was expected? "This doesn't look like a TLS port." Localized in all 11 languages and real cert/timeout problems keep their own codes, so a genuine TLS failure never gets mislabeled as "wrong port."

Check out the first live NeuralOS demo:

The OS is voice-first and it supports multiple cursors, multiple desktops, multiple agents working in different spaces simultaneously.

Join the waitlist if you wanna be among the first who get access:

Aviquill just hit 1.0, and the headline feature changes what the tool is capable of end-to-end: you can now create dialogue, design level layouts, and mock up game UIs directly inside the same canvas where you already map mechanics and systems.

We launched The Eureka Database yesterday, and honestly I did not expect to feel this much.

I did not build this to launch it. I made it for myself and used it quietly for a few weeks to decide what to work on next. Sharing it was a late call, and the response has been way more than I expected.

Thank you to everyone who upvoted, commented, tried it, and told me where it falls short. We made the top 10, finished 5th place in Vercel Day, and we even got featured in Product Hunt's newsletter, The Leaderboard, in an edition called "Steal your next startup." You can read it here: https://www.producthunt.com/news...

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.

I have been thinking about this recently. When I discover a new SaaS product, I don t only judge it by the design or features. I usually look at whether the homepage explains the problem clearly, if the pricing is simple, if there are real screenshots, and if the team/founder feels reachable.

Sometimes, a simple product with clear messaging feels more trustworthy than a very polished product with vague promises.

What do you personally check before trusting or trying a new SaaS product?

Just shipped Knowledge Base in Osaurus. You hand your agents a folder of reference material, itineraries, specs, spreadsheets, whatever you keep, and they search across all of it and answer from it. It runs on your Mac.

When your AI remembers something, it treats every piece of context with the same weight. A decision you made six months ago sits alongside a rough idea you were brainstorming yesterday. There is no way to say "this is settled" versus "this was just thinking out loud."

That matters more than it sounds.

A big part of my week is spent talking to early-stage founders about how they handle login, access, and identity, and there is a pattern I keep noticing that I want to understand better.

Almost everyone puts auth off at the start, which honestly makes sense when you are still trying to prove the product matters at all.

Just ask, "What's happening in sample.mp4?" or "Can you describe this video?" and it analyzes the content, identifies people, objects, actions, and scenes, then gives you a natural language summary. Simply mention the filename and it finds the video automatically. If it can't locate it, it asks you to pick the file. Once loaded, the video stays in context so you can keep asking follow up questions without reselecting it.
Watch it here: https://youtu.be/Jl4lOjTOGp4

Every few years someone declares the spreadsheet dead. Notion was going to kill it, then Airtable, then a hundred AI tools, and now agents are supposedly going to make it obsolete too.

But Excel is 40 years old and still runs most of the actual decisions at most actual companies. I'd bet it outlasts almost everything launching on this site this year, including a lot of stuff I love.

We're getting close to launching, and I keep feeling like there are a hundred things we could be doing right now, but probably only five that actually matter.

For those who have launched before:

• What were the most important things you did in the final few days?

• Which social platforms actually brought people to your launch?

• Did X, LinkedIn, Reddit, newsletters, communities, or personal outreach work best?

• Was there any small tactic that made a surprisingly big difference?

• What's something founders should never do before or during launch day?

Hey everyone! I m looking for a few Mac users who recently bought a domain but haven t set up email yet, or who manage mailboxes across multiple domains.

I d love to personally onboard a few people on Banger Mail over a live call to test some recent changes we did to onboarding. We ll:

• connect your domain

• configure the necessary DNS records together

• create your first mailbox

• make sure you can send and receive email

What started as a Product Hunt companion has become a BI layer for launches.

Custom dashboards, momentum, opportunity radar, hunter analytics, repeat launches, race replay, maker responsiveness and more.

Special thanks to @oshylabs and everyone in this forum whose feedback shaped a lot of this repeat launches and the responsiveness signal came straight out of conversations here. (The responsiveness metric even caught a question I'd missed on my own launch.)

What's still missing? If you could add one metric to Product Hunt itself, what would it be?

Hot take: the next big UX shift won t be another app.

It ll be humans talking to agents, and agents quietly doing the work in the background.

The real question is: how much control are we actually willing to give them?

Here we go
https://www.producthunt.com/prod...
Over the past few months, we've spoken with founders, marketers, consultants, sales teams, and students.

One thing kept coming up:

People don't mind creating presentations.
They mind spending hours formatting, redesigning, and fixing slides.

So now we're curious...

Tabstack's pricing recently evolved for more control and flexibility.

Context is king. Yep, I know, we've tried to solve it a bunch of times.

But moving that context is a pain:

Go to a website -> Copy text -> Switch tabs -> Paste in ChatGPT -> Get an answer -> Go back to the other tab -> Repeat 100 times a day

Hello PH

We realised that people aren t really aware of what they can do with Local Panel; it s probably just being used to access the terminal easily or to manage files. However, Local Panel is much more than that, and we wondered what we could do to demonstrate this.