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There s a unique joy in building physical products, and winning recognition from the industrial design community is definitely a very important part of that.

I m really honored that @Flowtica Scribe has received the 2026 iF Design Award it feels like the design world is validating exactly why we do this.

Road to 1,000,000 #Votap users Day 57 | Current: 1286

I knew there was a gap here when I started building Room Service, but I honestly didn t expect this much interest.

What surprised me is that it s not just a developer problem anymore.

With all the AI tools, game dev workflows, and this whole vibe coding shift, a lot more people are running into the same thing: their Mac fills up, but they don t really know why. That s what I m trying to solve.

This update adds more sense behind the "work on a book" phrasing. Books are now split into chapters by default. Old, single-file books are available to either edit or to convert. No explicit conversion will be performed so you can choose. But going forward, books are better managed with split chapters.

• Books: Now use a folder-based structure with separate chapter files instead of a single document.

• Legacy books are marked and can be migrated to the new format. Your old file will still be available with a .bak extension.

• Chapters are automatically combined into manuscript.md when you compile; chapters.md also gets created automatically allowing you to reorder chapters.

• The manuscript is read-only (in Prosaic) and regenerated on every chapter close or save (including auto-saves).

As always, to update, you can use:

After launch day, something interesting happens. You start seeing clearly all the things you should have done before it.

The most common regrets I hear:

Lay out your features as cards on a canvas. Add descriptions, reference files from your project with @ mentions, and draw connections to map out dependencies and flow.

When your plan is ready, hit Build. The entire board every feature, every connection, every file reference gets sent to AI as a structured prompt. It reads the plan, respects the dependency order, and implements it.

No more explaining your whole architecture in a long chat message. Just show it.

Use it for:

Great Scott!

One click and Invoke creates an isolated fork of your entire project. Experiment freely try new features, refactor, break things.Your original codebase stays completely untouched.

Describe what you want. Invoke's AI generates the design and shows you a live preview desktop, tablet, and mobile.

Not quite right? Just tell it what to change. Tweak the layout, adjust colors, rearrange elements. Keep iterating until it looks exactly how you want.

When the design feels right, hit Build. Canvas writes real, production code directly into your codebase. Not a mockup. Not a prototype. Actual code.

I ve been using a lot of AI-generated code lately, and while it definitely speeds things up, security feels like a weak spot.

I ve run into issues like missing auth, exposed endpoints, and weak configs stuff that AI doesn t really flag unless you explicitly ask.

Curious how others are handling this:

• Do you rely more on manual reviews or tools?

• Any workflows that consistently catch vulnerabilities?

• Have you faced any real incidents because of AI-generated code?

Yesterday I showed you how to audit your AI visibility. Today I'm going to show you exactly what to do with those findings.

After analyzing 50,000+ AI answers at Rankfender, we've identified clear patterns. Certain content types get cited 3x more often than others.

Here are the 7 content types that win AI citations with real examples you can steal.

First, the data:

First of all, a huge thank you to everyone who supported MCPCore's launch yesterday. Your upvotes, comments, and feedback truly mean a lot.

I want to be upfront about something: I won't be using this space to push promotions, ask you to sign up, or post any marketing-style content here. This is your community, and I want to respect that.

There used to be at least some clear logic behind startup valuation.
You d take:
hours rate MVP cost.
That gave you a rough valuation floor.
Not perfect. But it was an anchor.
That anchor is now gone.
AI made MVPs almost free.
~$300. Two weeks. One person.
And if a product costs almost nothing to build
what is valuation based on now?
The answer is uncomfortable:
your product itself is no longer inherently valuable.
Investors no longer look at:
how long you ve been building
how many developers you have
how much money you ve invested into the product
Because none of that proves anything anymore.
Now there s only one question:
who is paying?
If no one is
then in their eyes, your startup is worth roughly what your MVP cost.
Here s what actually changed:
why pre-seed is now about MRR, not MVP
how investor requirements shifted
why solo founders suddenly became viable
and where moat actually lives when your product can be cloned in two weeks
Full breakdown here

https://substack.com/home/post/p...
And I have a qustion to you:
Did AI kill innovative startups and turn venture into short-term revenue games?
What do you think?

Hey PH!

We just launched Visdiff and we're live on the leaderboard today.

One thing we kept running into at our dev agency: AI coding tools generate frontends fast, but the output never matches the design. Spacing is off, fonts don't match, colors are slightly wrong. You end up spending 3-5 hours per page fixing things that should've been right the first time.

Visdiff fixes that, paste your Figma link, it generates code, screenshots the result, compares it pixel-by-pixel to your design, and keeps iterating until it actually matches.

This all goes back a bit to the era of NFT, virtual reality, when, during COVID, we went to virtual events, had VR glasses and promised ourselves that we would spend more time in some digital parallel reality online.

Well. So Facebook, with a growing portfolio and a new vision, renamed itself Meta.

That it would be the Metaverse.

We re building SubscriptionFlow IQ, a chat widget designed to help SaaS teams understand and manage subscription data faster.

But we want to learn from the community

hey ph community, spent a good amount of time putting this one together and i think it's worth a read if you're into learning, productivity, or just curious about how memory actually works.

most people try to learn vocabulary, feel like nothing is sticking after a week, and quit. what they don't realize is that the real changes in your brain happen much later. and if you quit before week 3, you're leaving before the interesting part even starts.

Launched Lokuma Design Agent today.

Now I want to ask something more practical:

what s a design skill you wish your AI tool had, but still doesn t?

Thought experiment: if you had to delete all your bookmarks and could only keep 10, which ones would survive?

I think the answer reveals a lot about what we actually value vs what we mindlessly save. Most of us have hundreds or thousands of saved links we will never revisit.

Over the past three months, I've spoken with 50+ agencies using Rankfender.

Most started the same way: a client asked "are we showing up in ChatGPT?" and they had no answer.

Now? Many have built entire new service lines around AI visibility adding 2k, 5k, even 10k in monthly recurring revenue.

Here's exactly how they're doing it.

A few months ago, the number one feature request for Murror was a detailed mood analytics dashboard. Charts, graphs, weekly trends, monthly breakdowns. People wanted to see their emotions visualized like a stock ticker.

So we built it. And almost nobody used it more than twice.

v1.4.1 is out. Here's what shipped and what broke along the way.

The headline feature: Vois CLI and AI agent automation

This one is for the developers and automation folks. Vois now ships a CLI binary inside the app installer. AI agents (Claude Code, Claude Desktop, ChatGPT Desktop, Codex, Cursor, Gemini) can drive it directly.

We host skill files at vois.so/skills that teach agents the full command set: create projects, write scripts, assign voices, generate audio, export with mastering profiles. An agent reads the skill file and knows how to run your entire voice production pipeline from the terminal.

5 MB.

We added OAuth at #73. It made the binary fat. So we ripped out the dependency and rewrote the MCP client in 300 lines (ref #99). OAuth will become an optional component if you need it, it's there. If you don't, you don't carry it.

Hey Product Hunt! I'm Khaled, founder of NeuralAgent.

A few days ago we shared that NeuralAgent Skills was coming.

Today it's live.

For those new here, NeuralAgent is your Personal AI Assistant That Operates Your Entire Computer.