Hey Product Hunt community!

I wanted to share something we ve been working on at Free Document Maker (FDM AI) to help simplify the daily grind of document creation.

We realized that most "AI Writers" either hide their best features behind a login or slap a massive watermark on your PDF unless you pay. We decided to do the opposite.

What is it? A browser-native AI suite designed to generate, format, and export professional documents instantly. Whether you need a resume, a legal agreement, or a quick invoice, you can just prompt and download.

My partner and I kept stalling on home design. Not because of budget because we couldn't see it before committing. Pinterest boards don't work. Mood boards confuse more than they help.

So I built RoomLustra upload your room, pick a style, see the transformation before touching anything.

The biggest lesson building it: people don't want more design options. They want confidence in the one decision they've already half-made. That insight completely changed how we built the product.

Makers have you found that the real friction in your product is emotional, not functional? Would love to hear how you handled it.

Something I've been curious about: how many of you have noticed your LinkedIn posts performing differently based purely on how they're formatted not the content itself?

I've been digging into this while building a social scheduling tool, and the formatting layer on LinkedIn turns out to have a much bigger effect on reach than I expected.

A few things that surprised me:

Posts with external links in the body consistently underperform the same post with the link moved to the first comment. The algorithm appears to treat outbound links as an exit signal. Line breaks that look correct in the editor often collapse on mobile not a display glitch, just how LinkedIn renders them on different clients. The "see more" cutoff is shorter on mobile (~210 chars) than desktop, so hooks that work on one don't always land on the other.

Hey PH

Just launched DraftYourBid, an AI proposal tool built for consultants and agencies.

Most proposal tools give you a blank template and leave you to figure out the words. DraftYourBid works differently:

• Upload your past proposals: the AI learns your voice and style

• Describe the new client: get a full tailored proposal in seconds

• Add a quote, generate a contract, get it signed, all in one place

Hey Product Hunt!

I've wanted to build something of my own for a long time. Not a side project abandoned after two weeks something real.

Hey !
I built Lorematch to play with friends: six puzzles per run, three lives, blurred screenshots that reveal in stages, faster guesses score more. It started as something dumb to share in a group chat. I'm posting it here because I'd like to see if it can become a real thing.

Three eras to play (Retro pre-2006, Modern 2006+, or All), and a ranked mode with six tiers from Bronze to Loremaster and tier rewards. Currently around 970 games in the database.

Stack: SvelteKit + Svelte 5, Supabase, Cloudflare R2 for images, Netlify. One person's free-time project. No ads.

Things I'm still figuring out: ranked balance numbers are starting guesses, the game library could be wider, and I haven't done much to invite people in beyond sharing it with friends.

Hi Product Hunt

We built an AI Image Editor to solve a simple problem:
Image editing should be programmable, not manual.

A good reminder that work is not only about output, performance, and productivity.

It is also about energy.
Pressure.
Trust.
Recovery.
And whether people feel safe enough to speak up before things break.

That is the idea behind Pulseboard.

Five months ago, we launched oneinfer.ai on Product Hunt with a clear goal, make AI infrastructure usable at scale through a unified inference layer, intelligent routing, and cost optimization.

Since then, we've spent time working alongside teams shipping real AI products in production. One pattern kept surfacing in almost every conversation:

Even with better infrastructure, teams still spend a disproportionate amount of engineering time working around access constraints, token windows, rate limits, throughput ceilings, and unpredictable usage caps. Not because the underlying models can't handle the load, but because the access layer was never designed for the way modern AI products actually scale.