Pitch your product here, maybe someone is looking exactly for what you offer.

ColdPolish - coldpolish.com

You paste your cold email and it rewrites it into a full 3 email sequence (intro, follow up, final bump) in about 30 seconds. Built for anyone doing outbound who keeps re prompting ChatGPT every time they need a follow up that actually connects back to the first email.

No account needed. First 2 sequences are free.

Still early but would love to know if anyone here does outbound and what their current process looks like.

SAAL.

you write a letter to your future self today and we mail it back to you in 1, 2, or 3 years. either as a free email or as a real handwritten physical letter that shows up at your door.

no app to check, no notifications, no feed. you write it, seal it, and forget it exists. then one day it just arrives.

first email is free. saalletters.com

I’m building WorkZo AI (https://workzoai.com) — an AI recruiter simulation platform designed to make interview practice feel more realistic.

Most interview prep tools ask generic questions and give generic feedback.

WorkZo AI tries to recreate the feeling of a real recruiter conversation:

• follow-up pressure

• interruptions

• recruiter memory

• trust shifts based on your answers

• role & CV-aware interviews

The goal is not just “practice questions,” but helping candidates experience realistic interview pressure before the actual interview.

Currently in beta and learning from every user interaction 🚀

Would love feedback from founders, recruiters, and job seekers!

We're building AI Hive, an enterprise AI agent platform for companies that are stuck between "we tried an AI pilot" and "we actually have something running in production." The core problem we kept seeing: teams spend months evaluating platforms, then realize the all-in-one approach doesn't fit how their workflows actually work. So we built a system where you can deploy purpose-built agents per use case, run them on your own infra if needed, and have a governance layer that keeps everything auditable and compliant.

We also have an Agent Marketplace with 500+ ready-to-deploy templates so you're not starting from scratch every time. If you're in enterprise software, fintech, healthcare, or logistics and have been frustrated by how slow AI deployment actually moves in practice, would love to hear what you're running into. Happy to share what's worked for us.

Building Niyam AI — a Slack bot that tracks your time automatically just by messaging it.

The problem we kept running into: nobody logs time accurately. You either forget, batch it at end of day, or context-switch into some other tool. So we built something that lives where your team already talks.

You message Slack like normal, and we pull out the task + time spent. Daily summary, weekly report — no timers, no forms.

We ran it internally and found people had 3–4 hours of untracked idle time between calls every week. That number surprised us.
https://www.producthunt.com/products/niyam-ai/

Building Associum an AI associate for professionals,

https://www.producthunt.com/products/associum

Think of it as your AI associate that actually delivers finished work, not just answers. Reports, decks, Excel models. Ready to share.

See it in action:

Interactive tutorial:

A few things you can do with it:

•⁠ ⁠Run deep analysis across your entire dataset, like Claude Code but for your documents and data

•⁠ ⁠Build professional PowerPoint decks with last-mile edits directly in the app

•⁠ ⁠Generate longform deliverables: consulting reports, research reports, due diligence memos

Thanks Salim for this post, sounds interesting! We are launching Docfarm on the 17th of June and would love to get some community feedback on what we are building.

Docfarm catches every artifact your AI builds through MCP, hosts it at a clean link, and tracks who opens it. HTML, PDFs, components, decks, anything. No more zipping files or screenshotting Claude outputs to share your work. Every asset lands in one place. Share any of it with your team and work on it together, all from the same farm.

Try it out and let me know what you think!

I’m building Offer.cc (offer.cc), an AI interview growth and review tool for software candidates.

The problem I keep seeing is that many candidates prepare a lot, but the preparation does not turn into interview signal. They solve LeetCode problems, read system design templates, rewrite resume bullets, and do a few mock sessions. Each activity feels useful in isolation, but the real interview jumps across categories: a coding question becomes a complexity discussion, then an engineering tradeoff, then a project follow-up, then a behavioral judgment call.

So the product is not trying to be a magic answer generator. The direction is more practical: help candidates turn scattered preparation into reusable signals.

A typical workflow looks like this:

1. Paste a target JD and a resume/project summary.

2. Map the likely technical and behavioral follow-ups.

3. Practice coding interview reasoning, not just final code.

4. Build a system design answer around constraints, tradeoffs, failure modes, and metrics.

5. After an interview, turn what went wrong into the next training plan.

The “overtaking” angle in technical interviews, at least for me, is not about shortcuts. It is about reducing wasted prep. A candidate can improve faster if every practice session leaves behind something reusable: a clearer explanation path, a stronger project evidence bank, a better tradeoff story, or a sharper post-interview review.

I’m especially interested in feedback from builders who have hired engineers, coached candidates, or gone through tough technical interviews recently. Where do you think candidates lose the most signal: coding reasoning, system design tradeoffs, resume/project follow-ups, or post-interview review?

I'll start:

Our app is called Neststow, a home inventory app that helps you track everything in your household — from pantry food to skincare, batteries to cleaning supplies — and stops you from constantly rebuying stuff you already have or throwing out things that quietly expired.

Instead of digging through drawers and cabinets trying to remember what you own, you just open Neststow, tap your kitchen, fridge, or bathroom, and instantly see everything stored there — organized by location, with expiry reminders, opened-date tracking, and low stock alerts.

No account. No cloud uploads. Everything stays on your device with optional iCloud sync.

Finally an inventory app that feels like it was built for real homes, not warehouses ✌️

Can't wait to see what everyone else is building! 🚀

Invent (useinvent.com) - If you're a business owner, you can finally sleep and get your time back. Let AI scale your customer support, qualify leads, book appointments, and more.

We launched the past year and need to re-launch with a lot of updates we did this year!

Btw, I would love to know your thoughts as a CX manager Salim!