I spent months job hunting this year, and what wore me down wasn't rejection. It was not knowing which ads were real.

So I built WorkstationAI. Paste a job ad and get an A to F "should I apply?" score with a scam and ghost-job check, then CV tailoring, company research, and interview prep built from live research on that company. Free tier, pay per use, launching here on 4 August.

The hard part has turned out to be calibration, not the model. Telling someone "this is a D, don't apply" only works if they trust it. Right now it reads the ad text only, with no live check on whether the company is actually hiring. Flagging a genuine ghost job without crying wolf on every vaguely written ad is the thing I keep rebuilding.

Two questions for anyone who's been through it:

Built for JEE/NEET coaching institutes in India.
The problem: by the time a student's test scores or attendance drop, the institute has already lost the weeks it needed to fix it before the exam. Grades and attendance are lagging signals, everyone acts on them too late.
What we built: students write on paper daily in class as normal, a smart pen captures that handwriting (pressure, speed, hesitation, correction patterns). The pattern shifts weeks before the grades do, so the institute's academic head gets an early flag while there's still time to intervene. Zero change to how students study or write.
We also built a companion layer: since every note is already digitized, students get an app where all their notes live in one place, and can chat with an AI that has full context of them, auto summaries, mind maps, flashcards, quizzes generated from their own material. Institute gets the early-warning dashboard. Student gets a study tool from notes they were writing anyway.
Would love feedback, especially on: - Does "6 weeks early" sound credible, or need more proof upfront?
Any failure mode we should be stress-testing (false positives, privacy, surveillance concerns)?
Link: www.notivo.in

Pinterest te faydal bir video, g rsel, GIF veya karusel i eri i buldu unuzda bunu cihaz n za kaydetmek bazen gere inden fazla zor olabiliyor. Baz ara lar yaln zca tek bir i erik t r n destekliyor, baz lar mobil cihazlarda d zg n al m yor, baz lar ise kullan c lar yo un reklamlar ve gereksiz ad mlarla kar la t r yor.

Bu sorunlara daha sade ve kullan l bir z m sunmak amac yla Pinterest Video ndir arac n geli tirdim.

Pinterest Video ndir, herkese a k Pinterest ba lant lar ndaki video, g rsel, GIF ve karusel i eriklerini kaydetmeye yard mc olan cretsiz ve taray c tabanl bir ara t r. Kullan c n n Pinterest ba lant s n kopyalay p araca yap t rmas yeterlidir.

Ara ile:

Hey everyone!

I'm Sainadh, founder of MeshaSec.

We built MeshaSec because most security scanners weren't designed for modern development teams. They either:

• Only scan public pages

• Require security expertise to use

• Ask you to upload sensitive application data to the cloud

AdWait shows one small labeled ad in the corner while your AI tool is generating, and credits you half of what that ad pays. When the response lands, it disappears.

No signup, no account. It never reads your prompts or responses. Cash out from $5.

Works on ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Microsoft Copilot, Replit, and Base44. The place it actually adds up is agent runs. A ten-minute Claude Code or Replit session is roughly 85 ad rotations, and you were sitting there watching a spinner anyway.

Solo founder, first product, eighteen, currently in Seoul. It goes live late-august, so it is not installable yet and I am not asking anyone to try it. What I want is for you to tell me where the idea breaks.

Hey,

We have just launched. Let me know what you think about Mindra

AI can generate code fast, but teams still need to understand, review and trust what gets produced.

That is why we built Savyre AI Coding Workflow. It guides developers through a structured 14-stage process covering requirements, codebase discovery, implementation, testing, review and impact analysis.

Each validated stage becomes the input for the next, reducing repeated context and improving traceability.

We are looking for early users to try it inside VS Code or Cursor and share honest feedback.

We're planning our launching soon.

I keep reading different stats from searches - some say your personal network drives everything, some say cold PH traffic is underrated..

I'd like to hear from real people, who had that experience here in PH.

I m building CogniFocus, a bootstrapped Android focus app.

The idea came from a simple problem: I could start a focus timer and still end up switching apps mid-session.

The timer kept running, but my focus was already gone.

So I built CogniFocus around a different loop: start a focus session, block distracting apps, get pulled back when you drift, and let a Goblin roast or praise you depending on how you focus.

Hi PH

I recently introduced myself here as an ex-CMO of nearly 20 years, now building something I personally wanted as a founder/operator.

The problem: founders and SMB owners make important decisions everywhere-meetings, calls, coffee chats, commuting, trade shows, and quick conversations on the go. But a lot of that context disappears before it ever reaches our tools.

We re building Memoket: an AI wearable + software system that captures real-world conversations, summarizes them, connects context across time, and turns them into tasks, notes, and follow-ups.