Hi everyone

I m building Deep, a dating app for people tired of endless swiping and dry conversations.

Instead of scrolling through hundreds of profiles, Deep AI gives you 1 curated match every day.
Every day, you get matched with someone based on personality, vibe, and compatibility no swiping needed.

The goal is simple:

Hey PH community!
I'm Ashish, founder of Neulish.

I built this after watching people I love struggle

with mental health in silence too afraid for therapy,

too overwhelmed to start.

Text-to-Code creates software. Text-to-App creates products. Today, we are launching Text-to-Labor.

Meet Ownablee: The Sims meets Zapier. Hire AI workers, manage them in 3D, and fire them with a laser.

Hello everyone
I'm a software engineer currently switching jobs, and the prep process has been frustrating. Editing my resume in one tool, asking ChatGPT for suggestions in another tab, never really knowing if my resume was landing the right signals for the roles I was targeting, and practicing answers only in my head with no idea whether they were actually comprehensive enough.
So I built a job prep workspace that puts resume editing, AI diagnosis, and mock interviews in one place.
Here's what's inside:
1. Resume editor
With Markdown support, live preview, and multiple resume management. You can import existing PDFs and it converts them to editable format.
2. AI resume diagnosis
It goes beyond generic advice. Upload your resume, specify your target role, company type, and experience level, and it gives you a match score, keyword coverage analysis, module-by-module rewrite suggestions, and dimension scoring across technical depth, project impact, fundamentals, presentation, and differentiators.
3. AI mock interviews
It actually use your resume to generate follow-up questions. It adapts based on your target role, interview round (first round basics vs. final round system design), and interview style. Supports voice input with real-time transcription so you can practice speaking, not just typing.
After each mock interview with detailed feedback on what you did well and where to improve.
The whole thing is free to use right now. I built it because I needed it myself the gap between "I updated my resume" and "I'm actually ready to interview" felt way too wide, and the existing tools either cost a fortune or only solved one piece of the puzzle.

It's at https://www.offer-ready.top if you want to take a look. Would love feedback from this community especially on what feels missing or what would make you actually use this during a job search.

I m building PartFinder a tool that helps manufacturers spot risky parts in their supply chain before they become a problem.

You can upload a BOM or parts list, and PartFinder looks at things like lead-time changes, supplier concentration, geography exposure, disruption events, and replacement difficulty. The goal is to show which parts are exposed, why they re risky, and what actions teams can take next like finding alternates, checking suppliers, or starting RFQs.

We re mainly focused on mid-market manufacturers that don t have huge procurement/risk teams and are often stuck using spreadsheets, supplier portals, ERP data, and tribal knowledge.

Would love feedback from anyone in manufacturing, procurement, hardware, or supply chain. Is this something your team deals with, or do you already manage this well enough manually?

Hey Product Hunt

I m Florent, co-founder & Head of AI at Gravity Capital.

We built Gravity because M&A teams don t lack data. They lack a scalable way to turn data into qualified transactions.

Gravity is an AI agent for small and mid-cap M&A execution, helping deal teams with sourcing, scoring, qualified outreach, financial documentation, digital NDA workflows and pipeline follow-up.

Stop guessing what Google wants. Get rank ready article drafts with built in intent analysis, competitor benchmarking, and E E A T alignment.
Most AI writers produce fluent text but ignore three things Google actually cares about: search intent, competitor structure, and E E A T trust signals. That s why their output rarely ranks.

SEOAuthori works differently. It analyzes first, writes second.
How it works:

1. Enter a keyword (optional: tone, market, depth)

2. SEOAuthori automatically analyzes:

   • Search intent behind the query

   • Competitive structure of top ranking pages

   • E E A T trust signals (Experience, Expertise, Authoritativeness, Trust)

3. You receive a structured draft with:

   • Clear topic coverage

   • Internal linking plan

   • FAQ section

   • Meta tags & structured data

   • SSR safe output (server side rendering)

Why it matters:
Generic AI tools generate text. SEOAuthori generates rankable content. Every draft starts with real SERP data, not guesses.

Building Kognis made me realise modern productivity isn t the real problem anymore

Over the last year I ve been building Kognis an AI-powered personal intelligence system focused on memory, recall and reducing mental overload.

What surprised me most is that people aren t really struggling with capturing information anymore.

We already have endless apps for:

Hey everyone

I recently launched LittleLog, a minimalist app designed for quick daily journaling and mood logging.

Instead of writing long diary entries, the app focuses on capturing small moments, thoughts, and reflections in seconds.

Features include:

@Creative Editor gives you the structure to build a real writing practice in an age where AI can produce anything but can't write for you. It separates drafting from editing the two cognitive modes that cause writer's block when mixed. Four moods reshape the workspace. An AI companion (Echo) only speaks when summoned. Start writing sessions to stay focused, from drafting college essays, to articles, to screenplay scripts, to poems all year-around.