Not because people don t care.
Because attention is limited.

When reviewers are exhausted,
they miss context,
skim changes,
and default to approval.

PRFlow was built to remove the noise before humans step in,
lint-level issues, obvious mistakes, missing basics.

It doesn t replace reviewers.
It protects their focus.
If you want to try it on real PRs, here is the link : https://www.graphbit.ai/prflow

Your computer should never feel uncertain about what it s protecting.

With v2.1.0, Proximity Lock System now gives you clear visibility into:

• Which device is configured

• When it was last detected

• Whether monitoring is actively working

What s New

Disney just announced a licensing deal with OpenAI that will allow users of OpenAI s Sora to generate short videos of its characters.

Just in case you ve forgotten what s in Disney s IP library, it s way more than Mickey and Goofy. It spans Marvel, Star Wars, Pixar, and a bunch of other properties. Not everything is included in the deal, though. For example, you ll get the illustrated Tony Stark, not the Robert Downey Jr. version.

Hey folks,

Here's what we're working on actively & planning to release with next update:

• Automatic capture of memories/data entered by users.

• Support for select/radio/checkbox fields

• Alternate fill modes that trigger superfill.ai autofill directly from webpage without the need to open extension UI

Since our first launch, it's been a long journey with plenty of challenges. Me and @ahmed_ktata have been heads-down listening to feedback and shipping improvements. T
oday, we're genuinely excited to be back with updates we're really proud of.
Quick Recap - What is Gitmore?
We built Gitmore because manually tracking repositories and preparing progress reports was eating up our days as engineers and product managers. We were constantly losing track of PRs, forgetting follow-ups, and spending hours compiling updates for stakeholders.
Gitmore uses AI to automatically turn your GitHub, GitLab & Bitbucket activity into intelligent progress reports so you can stop asking for updates and start getting them automatically.
- What's New in This Launch:
GitLab Integration We've added full GitLab support! Now connect GitHub, GitLab, and Bitbucket repos all in one place.
Live Monitoring Board Track all PRs across repos in real-time (New In Progress Merged). No more lost PRs or forgotten reviews.
Gitmind in Slack Our AI agent now lives in your Slack workspace. Ask "Is the checkout bug fixed?" and get instant, context-aware answers without leaving Slack.
Enhanced Reports We've completely redesigned our reports with better narratives, team highlights, and performance insights that actually tell the story of your team's week.
Multi-Repo Overview Finally, see all your repositories in one unified view instead of jumping between platforms.
What's Still Awesome:
GitHub, GitLab & Bitbucket Integration One-click OAuth, works with private repos
AI-Powered Reports Smart daily/weekly summaries delivered automatically
Slack & Email Delivery Get reports where your team already works
Flexible Scheduling Daily, weekly, or custom automation triggers
Developer Leaderboards Gamified contribution tracking for team motivation
Real Impact: Our early users are saving 5+ hours weekly on status meetings. Stakeholders get automatic updates without interrupting developers. One team told us they eliminated their Monday standup entirely that's the kind of feedback that keeps us going.
Why It's Different: Instead of another dashboard you'll forget to check, Gitmore proactively brings insights to you. Our AI doesn't just aggregate data it understands context, recognizes patterns, and communicates like a teammate who actually read through everything.
Perfect For:
- Engineering managers drowning in "what's the status?" messages
- Product managers juggling multiple repositories
- CTOs who need visibility without micromanaging
- Distributed teams that want transparency without more meetings
Try It Free: 7-day trial, no credit card required. Connect your first repo in under 1 minutes.

Here s something uncomfortable I ve learned building AI agent systems:

AI rarely fails at the step we re watching.

It fails somewhere quieter
a retry that hides a timeout,
a queue that grows by every hour,
a memory leak that only matters at scale,
a slow drift that looks like variation until it s too late.

Most teams measure accuracy.
Some measure latency.

Here s something uncomfortable I ve learned building AI agent systems:

AI rarely fails at the step we re watching.

It fails somewhere quieter
a retry that hides a timeout,
a queue that grows by every hour,
a memory leak that only matters at scale,
a slow drift that looks like variation until it s too late.

Most teams measure accuracy.
Some measure latency.

Hey PH community!

If you re running ads across Google or Facebook (or both), you ve probably spent too many hours digging through dashboards, exports, spreadsheets and still wonder: What s really driving cost? Where s the leak?

That s why we built Hyperif Ad Intelligence.

We just launched MindPal today on Product Hunt, and as a no-code AI agent builder platform, one of the questions we got asked the most is: Why do I need MindPal when I have ChatGPT + Claude?

Fair question. Except it's comparing a personal assistant to a business multiplication engine.

Given all the AI tools out there today, what is one challenge with data that still remains unsolved? why do you think it hasn't/can't be solved easily.

Store Manager is an all-in-one e-commerce SaaS platform designed for creators and small sellers who want to run their business without technical hassle. From managing inventory and tracking orders to analyzing customer behavior, everything happens in one clean, easy-to-use dashboard.

Our newest update introduces custom storefronts, allowing sellers to design their own branded online shops with themes, colors, and layouts no coding required. It s the fastest way to turn your idea into a professional online store.

Each account includes a personal AI Store Manager, your built-in assistant that helps answer customer queries, gives business insights, and automates tasks. Try it free for your first month!

Yesterday, @pamela_arienti mentioned that her Product Hunt launch ended up somewhere in the middle, and one of the main lessons for her is that the connections gained on the platform are much more important than the placement.

I agree with this statement. Although...

Now I thought I'd ask:

Shotgun writes codebase-aware specs for AI coding agents so they don't derail.

The problem we're solving: AI agents made developers fast at building. Also made them fast at building the wrong things. Cursor, Claude Code, Copilot they generate code immediately without asking: does this already exist in your codebase? Does a better solution exist externally?

What Shotgun does:

Research Specify Plan Tasks Export

Here s something we don t talk about enough,
AI systems don t always fail, sometimes they just drift.

One day, your model outputs are sharp.
The next, they re slightly off.
Then suddenly, your entire workflow is built on quiet inaccuracies.

Folks, please. This isn t LinkedIn (YET).
Write your own maker comments.
Sheesh.
https://www.reddit.com/r/OpenAI/...

I ve been exploring a rules + LLM approach where you write plain-text rules (any language) and the system makes approve/flag/reject decisions in under ~500ms, with priority to resolve conflicts.

What I d love feedback on:

Is priority the right way to resolve rule clashes (e.g., Personal Attack 0.9 > Verified 1.0 auto-approve)?