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Recently, I came across a discussion where someone asked whether to skip the internship and build the product with AI instead.

I see the same trend on X. Some founders are just 14, 15, or 16 years old already building tools, and some are even raising funding. AI has completely changed what's possible.

I have accumulated years of photos, videos, documents and other files across multiple drives.

The problem is that cold storage is cheap, but browsing and searching old data is painful.

A full backup keeps everything, but you often don't know what is inside without connecting the original storage.

I'm curious how people manage large personal archives:

We ve been thinking about a problem that probably hits a lot of early B2B SaaS teams.

Outbound is useful early because you control who you speak with and learn quickly from objections.

But it also creates a dependency: stop reaching out, and the pipeline can slow down.

We re now comparing that with partnerships and referrals.

Curious to crowd-check something any researchers/analysts here who still have to loop in an external team (or a colleague) just to get basic data pulls, literature reviews, or first-pass analysis done? Not the deep, judgment-heavy stuff just the grunt work that eats days before the "real" research even starts.

If that's you what's the actual bottleneck?

• Is it that the tooling/agents just aren't there yet?

• Is it trust you don't believe the output without a human checking it?

• Or is it that setting up an agent/pipeline yourself takes longer than just asking a person?

Trying to figure out where an out-of-box research agent would genuinely save time vs. where people still want (and will keep wanting) a human in the loop.

Hi folks, happy to report we are now being very close to getting the Product of the Week award!

Thank you for the overwhelming support, it's been really humbling to see how many of you registered to use our tools. Today is the last voting day for Product of the Week and the margins are razor thin, if you or your friends haven't checked it out now is a good time to share the link with them: https://www.producthunt.com/prod...

The rule is simple: if your product can do something, code should be able to do it too. Chat, reports, settings, whatever. One feature, two surfaces.

This has always been good practice, but agents just changed the math on it completely.

There's a specific moment that happens with almost every project: the agent produces code, it passes your tests, everything's green, and there's a real pull to just move on to the next thing. Totally understandable, the whole appeal of this workflow is speed.

But there's a gap between "this works" and "I understand why this works," and that gap is where the real risk hides. Not because the code is wrong, most of the time it isn't, but because the next time something breaks nearby, you're debugging code you never actually read closely the first time.

during the BC (before ChatGPT) era, this gap barely existed. You wrote it, so you understood it, mostly by necessity. Now understanding is a separate step you have to choose to take, not something that comes free with writing the code yourself.

One habit that closes that gap fast: before merging anything non-trivial, ask the agent to explain its own implementation back to you, line by line, in plain language. Not as a formality, actually read the explanation. Two things tend to happen. Either it confirms your understanding and takes thirty seconds, or it surfaces an assumption you didn't know was baked in, which is usually the more valuable outcome.

We did it! Prelint hit #1 on Product Hunt this week - thank you for every upvote, comment and DM Now let me return the favour:
I honestly didn't imagine a launch where we'd have a customer registering every couple minutes - or that I'd spend part of it exchanging comments with one of the world's most popular YouTubers. Wild week.
I replied to every comment on our launch - solo builders, CTOs, investors all interested in the same problem from different angles. Here is how it started in February:
Prelint exists because of one code change. An agent ignored our event-driven architecture and implemented a feature completely bypassing it. The code was technically correct, passed all tests. And nobody made that decision - it was just quietly baked into our product.
That's product drift. It's almost never one big bad call - it's micro-decisions nobody notices for 6 weeks. A change in permissions, a "simplified" billing edge case, a dependency nobody approved. Usually it's good code, wrong product.
So here's my launch offer - not a discount - it's my time.
If you're rolling out coding agents and agentic workflows at your company right now, comment or e-mail me at wojtek(at)prelint.com. I'll share the exact agentic workflows and tooling we use internally to manage 50 production changes a day as a small team and I'll honestly tell you which parts you can solve in-house before you need a tool like ours. These conversations were the best part of the launch and I want more of them :)
Also - if you want to see what your agents have been deciding on your behalf, connect a repo at prelint.com Code PH100 gets you 100$ in free review credits this month - it's full speed AI, but with lane assist.

Every MacBook since 2021 has a notch, and on macOS it does absolutely nothing. On iPhone, the same cutout became the most useful strip on the screen.

That gap bothered me, so I built Pulse Island, a native macOS app that turns the notch into a live, interactive island.

For a long time, social media felt like one big town square.

Now it feels more like a collection of neighborhoods.

I automated my site's indexing checks this month and hit a wall that surprised me. The Search Console API will inspect URLs, report coverage state and resubmit sitemaps. The separate Indexing API only accepts job postings and livestream pages. The one thing everyone actually wants, the Request Indexing button, has no API at all.

So my daily job does everything the API allows, inspects up to 160 URLs, resubmits the sitemap, then writes a shortlist of URLs stuck in Discovered or Crawled but not indexed. The last step is me clicking Request Indexing by hand off that list.

Has anyone found a legitimate way around this, or is the manual click just the toll Google charges?

If so, what apps do yall use, and what is the number one feature you wish was there, or what s the most annoying pain point when using these dictation apps? Appreciate any feedback, and I m considering giving people lifetime access to my app if they contribute their ideas, guys let s work together to make the best local dictation app out there.

After building and launching 4 B2C macOS apps, I decided to release one of our internal tools that helps us evaluate and track marketing channels.

Days of preparing for the launch, setting up onboarding, landing page, redesigning the dashboard, testing, and more.

Converting an internal tool built for our needs into a standalone product is not as straightforward as you might think.

Since our last launch we've been heads-down on one thing: making "this integration works" actually mean something. Here's what changed, and why we're more confident than a month ago.

What we shipped?

Five integrations now recognize the bugs people actually hit and prove the fix with a real before/after:

Every business I have run had a version of this. A lead who asked a good question and never heard back from me. A client who mentioned something felt off during a slow week, and I told myself I would circle back once things calmed down. Things never calm down enough on their own. The follow-up does not disappear because I forgot about it, it disappears because nothing in my day ever forces it back to the top again.

Curious whether other people running something small have actually solved this, not with more willpower, just structurally. Does anything in your process bring the thing you meant to get back to, back in front of you at the right time, or does it just stay buried until the client brings it up themselves first.

Hey Product Hunt, Parsons here, founder of PodcastorAI.

A few days ago, we launched PodcastorAI and finished as the #3 Product of the Day. We ve received more than 300 upvotes and 100 comments so far, and I m incredibly grateful to everyone who tried the product, asked questions, or shared feedback.

Wow! Thank you to everyone who supported SoundGate Guitar! Finishing at #2 exceeded our expectations.

For Vahe and me the best part of the day wasn't the ranking - it was the conversations in the comments. We loved seeing how many of you resonated with the need for a real-time practice companion rather than just another video library.

We took notes on every single comment. Here is the top feedback we received and what it means for our roadmap:

• New Instruments: A ton of you asked for Bass and Ukulele support so you can jam together. We are focused on perfecting the 6-string engine right now, but Bass is next in line!

• Advanced Technique Detection: We had great questions about expression detection. We are actively training our models to catch bends, slides, vibrato, and palm muting.

• Distortion & Amp Effects: Right now our engine is optimized for clean tones. Based on your feedback, we are prioritizing updates to handle distorted tones and heavy effects just as accurately.

• Android Support: We heard you! Right now we are fully native on Apple (SwiftUI), but we know we need to bring SoundGate to the Android ecosystem.

Osaurus agents can now drive a real browser. You give the agent a goal in plain language, and it navigates, clicks, reads pages, and reports back.

The demo we shipped it with: a 9B model checking an Amazon shopping cart. Real browser, real login, real cart. It signed in, read the page, and returned the items and prices. About 90 seconds, running locally on a Mac.

Weather mini 3.6 is now available. This update adds local weather sources in supported regions, makes the app nearly half the size, and brings a series of improvements across Weather mini.

hey guys,

today we shipped Founder Leaderboards on ExploreYC: ~3,000 YC founders (and growing), deduped across every company they've started, ranked four ways:

I launched a booking tool for day-rate freelancers this morning and got a comment I haven't stopped thinking about:

"The friction is never the calendar; it's locking scope and terms before anyone starts working."

Fair challenge. What I built assumes scope is settled by the time a contract goes out signing is the "we already agreed, now make it official" step, not the negotiation.

For those of you who do client work, is that true for you? Is scope usually settled before you'd want anything signed, or is it still moving right up to the signature? And if it's still moving what specifically? Price, deliverables, timeline, revision count?

If you've been following along and would like to support us we would appreciate a star of GitHub: https://github.com/ota-run/ota

A repo can look fine until it is run in a different environment. Native setup, Docker, CI, and remote execution often carry different assumptions, and most teams only discover the mismatch when something breaks.

Ota makes those execution paths explicit so a repo can declare how it should be prepared, verified, and run in each environment.

Where does drift cost your team the most today: local setup, CI, containers, or remote environments?

I'm not just talking about platforms pushing new features (like Instagram prioritising Reels over photos), but about the bigger picture.

There's so much AI-generated content now, and it's being produced at an incredible speed.

To avoid blending into the crowd, we've had to rethink our approach.

We did it!

Adomate finished as the #1 Product of the Day on Product Hunt.

A huge thank you to everyone who supported us, upvoted, commented, and shared. Your support made this possible.

People often say that "the genie is already out of the bottle" and can't be put back in.

But the news that Anthropic made its latest model unavailable across Europe shows how control over technology, or the lack of ownership of it, can completely reshape the playing field.