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Hot take, but I take it back lightly: The more writing is done by the assistant for your project, the more your tests weigh as your knowledge of the code fades away.

For example, for a recent application to split expenses between friends, I let the assistant write the logic while creating three tests myself. First, to make sure that splitting an expense into three parts will result in even cents. Second, to check whether deleting a friend doesn t break old expenses. Third, to test if an empty group won't cause any problems. All three tests helped me catch actual issues on the second day.

Termexo v0.8.6 AI-generated release illustration

I maintain Termexo, an MIT-licensed Windows workbench for Claude Code, Codex and OpenCode. Version 0.8.6 focuses on reloading a view, reconnecting remotely, resizing a window and switching to a terminal that was hidden.

Keep the running process
Previously, frontend loading could be mistaken for a new terminal launch. Reloading could restart an agent that was already working. The view now reconnects to a backend terminal that is still alive, preserving its current launch and avoiding redundant session takeover requests. Closing Termexo or shutting down the computer still ends running processes.

After a few months of beta testing and gathering feedback, we've started implementing some changes, and we're excited to share them here!
Branda v1.1 is Live
More controls and better experience.
50% Faster
Model selector (GPT images 2.5 + Nano for now)
Quantity selector (low + medium)
Visual prompt UX (better ux)
More prompt ideas to expand your brand (look at prompt suggestions)
Much more details

Check it out here www.branda.co

So I know that ProductHunt has probably had to fight it's faire share of fraud and abuse on their platform but I have been using it on and off for moths and it appears that despite my waves of inconsistent activity, I still have yet to really gain any kitty points or be able to really help upvote someone. (I can do it but when I look from another computer the score is unchanged). I don't really care that much, but I'm just curious. Does this happen to everyone when they start using the platform? Is it normal? When will my voice actually begin to be heard in this community?

You know that moment when the one customer detail you need isn't in the CRM, isn't in Notion, and only lives in one person's head?

And that person is on vacation?

Perhaps local setup, CI, containers, and AI agents all follow slightly different paths, and a green result does not always mean the same thing.

Ota is offering a free execution-readiness review for a small number of open-source projects and engineering teams.

We ll review one selected repository, identify conflicting or incomplete execution paths, and prepare a reviewable draft integration showing:

• the canonical setup and verification path;

• which native, container, and CI lanes actually work;

• what each result proves;

• what remains unverified.

@kareemamin has come a long way since I hunted @Clay here, announcing their Series D.

When you re preparing to launch, you know every single feature your competitors have. But a few months in, you're so busy fixing bugs and talking to users that you completely lose track of what they're up to.

I used to check competitor sites every few months, but by then, their pricing or main message had usually changed without me noticing.

At the same time, looking at them every day just stresses you out and makes you copy things you shouldn't.

What s your realistic routine for keeping an eye on the market and what kind of update actually makes you change your own plans?

Hi there!

A repeating complaint says something about your mobile app. A repeating answer says something about you. Both to Google & Apple and your users.

Hey guys,

It s been a little while since I posted here, sorry about that.

Hey everyone! Tomorrow my project AuditGuard is launching on Product Hunt, and I wanted to share a fun milestone: I built, tested, and deployed the entire app straight from my Samsung phone.

Managing everything from mobile can be wild, but Railway's deployment flow made it surprisingly smooth to push live on the go.

Has anyone else tried building and shipping full-stack products entirely mobile-first? Would love to hear your experiences or answer any questions about the setup!

Maker update: Termexo v0.8.5 is out. I maintain this MIT-licensed Windows workbench for Claude Code, Codex CLI, OpenCode and real terminals.

More consistent terminal behavior

The EXE, MSI and npm packages now bundle Microsoft's MIT-licensed ConPTY components. Older Windows ConPTY builds can lose Shift+Tab or mouse reports, affecting Claude Code shortcuts and OpenCode scrolling. Using a bundled version reduces these OS-version differences and adds about 600 KB to the installer.

The frontend also detects its pseudo console and avoids reflowing wrapped lines a second time when an older system ConPTY has already done it.

Earlier this year, we introduced Navi as a new interface to the Parsewise Data Engine. Instead of learning the platform first, users could begin with the questions they wanted answered and the data sitting in their documents.

Navi can now build apps around a project s extracted data, inspect the decisions behind an extraction, transcribe dictated prompts, and use screenshots as context.

We used to think the safest rule for AI permissions was letting agents execute any task that could be easily undone in the database.

But we learned the hard way that database rollbacks don't fix customer relationships like when an agent automatically sends an incorrect status update or marks a feature request as "planned" without human context. Once the customer sees it the damage is already done.

How does your team handle permission boundaries for agents handling live product decisions?

I used to rely strictly on typing out manual timestamps during long meetings, but the moment I lost focus for five minutes the entire log became useless.

Keyword search inside massive audio transcripts sounds great on paper, but it usually fails when you can't recall the exact phrase someone used. I've been trying to find a cleaner system to jump straight to the key decision points without scrolling through pages of text.

Have you found a search workflow that actually pinpoints specific moments reliably or do you still take manual notes while listening?

Local Panel has been live for over three months and we now have over 100 users thank you to everyone for that .

For those who aren t familiar with it, Local Panel is a desktop app for developers who are fed up with the hassle of setting up their development environment. Windows, Mac, Linux hosts, databases, SSL, project management, all in one place. No web app, no browser tabs, no it works on my machine excuses.

When our product was free, people were wonderfully forgiving of bugs, clunky navigation, and missing documentation. The moment we introduced a credit card requirement, the entire relationship shifted overnight. Every tiny friction point turned into an immediate support ticket or a silent cancellation because paying customers expect an instant return on their mental energy.

How long did it take your product to feel "worth paying for" after you made the transition away from freemium?

For a long time, I used to dread getting cancellation feedback explaining why our tool didn't work out. But looking back at the analytics, the users who quietly slip away without saying a word are much scarier. At least when someone complains about a broken or a confusing menu enough to push back. Silence just means they've already moved on.

What s your preferred way to extract honest feedback from users who cancel without leaving a note?

Early on saying yes to every paying user felt like the only way to keep churn low. But we ended up building so many random custom features that our main app became bloated and hard to navigate.

When a high-value client asks for something totally off the roadmap now, it s terrifying to push back.

How do you decline custom requests without making them feel ignored or driving them straight to a competitor?

We price in prepaid credits so the worst case is meant to be boring. You hit zero, generation stops, nobody gets a bill they didn't agree to.

Then we shipped a spend function that was writing bad balance events. The ledger drifted from what people had actually spent, so the ceiling I thought I had wasn't the ceiling. Nothing failed, nothing alerted, and the number in the config was still correct the whole time.

There s a false sense of security in seeing signups tick upward when your actual core product usage stays completely flat.

We used to celebrate traffic spikes from launch directories only to find out those users vanished within 48 hours without touching a single key feature.

Chasing volume instead of actual activation was burning our engineering time on the wrong problems.

If you've run into this trap how did you restructure your core metrics to measure real engagement instead of empty vanity numbers?

We kept building advanced dashboards because we thought power users wanted more depth. Turns out, new signups were getting lost in the setup process before they even hit their first 'aha' moment.

The realization hurt: nobody cares about our fancy analytics if they spend twenty minutes just trying to figure out where to click first.

For founders who have simplified their initial flow: what metrics did you use to measure whether your new onboarding actually reduced friction?

Exploring an idea and would love honest feedback.

Families building their own home in India usually track everything through WhatsApp, a notebook and memory: stage-wise payments to the contractor, material bills, design changes and what they cost, and warranties at the end.