Hey everyone, really appreciate the support this week and welcome to our new followers! :)

Just wanted to introduce myself properly. I'm Tom Gray, one of the co-founders. Our goal with Flow is simple Help you book more sales calls and give you a reliable way of getting more customers.

We analyzed the codebases of 100 startups that hit a scalability wall (*)
The goal was not to find the most exotic bug. The goal was to find the most common, expensive, and preventable patterns of failure.

The results were almost identical across 85% of them. Here is what the data says.

The Timeline to Failure

Months 1 6: Everything worked. Fast releases. Happy customers. No time for architecture.

Hey PH
Kshitij here from Inr .
We launched here back in 2024, which gave us a real platform to kickstart our journey, and the feedback from this community has genuinely shaped how we built Inr . A lot has shipped since then, and we're back on Saturday, April 25, with our biggest update yet.
But before that, here's everything we shipped in these last few months -

• Automation triggers: From 6 to 20+ trigger types. Posts, Reels, Stories, IG Live, mentions, inbound DMs, referral links, Meta ads, external webhooks, and more.

• Automation actions: Grew from ~10 to 40+. You can now copy-paste blocks between scenarios, duplicate them, bulk-delete them, and share flows as templates. Plus, a simplified builder that makes getting started much faster.

• Scheduling and retroactive automations: All your IG content in one place. Run automations on specific posts, schedule them for upcoming ones, or trigger them retroactively on comments up to 7 days old.

All of these combined mean that whether you run a simple comment-to-DM flow or a multi-step funnel for all of Instagram, we have you covered.

• Campaigns: Multimedia sends, audience customization, scheduling, branching logic, and a full template library across industries so you're never starting from scratch.

• CRM: Custom properties, 30+ filters to segment your audience, and insights like never before. All captured automatically, fully exportable, and connectable to your existing tools.

• Safety and quality controls: Spam detection, hate comment filtering, viral comment moderation that adjusts as your post blows up, opt-out detection, manual interjection, folder exclusions, and time-of-day scheduling. The stuff that quietly saves you from yourself.

• Integrations: Native connections with Shopify, Calendly, Stripe, and ElevenLabs. 8,000+ tools via Make and Zapier. Full private API, two-way webhooks, and an MCP server so you can run Inr from Claude or ChatGPT in plain language.

no one asked actually but to be honest i think i had to say something cuz i kinda feel bad that all the support i got here just went away...
right now if you visited the domain finkitty.com you will find out that its listed for sale, i took this decision after a very long sitting with myself and ended up deciding that since im not having any users in this app i might just kill it and shift my focus into something else (working on templateson.com now)
yet im still holding it inside cuz i do like the name of this app and i feel like it has very good potential and i just cant see it..
so... if you have any great idea for an app named "FinKitty" please let me know
thanks

What it is: ClarifierAI is an iOS keyboard extension that improves your writing with AI directly where you type no switching apps, no copy-pasting.

How it works: You type normally, tap the Clarify button, and AI rewrites/fixes/translates your text inline. Changed words are highlighted so you can tap to revert individual edits you don't like.

I run OpenOwl, an MCP server that lets Claude, Codex, and other AI assistants control your desktop (screenshots, clicking, typing, all that). We've been growing and I want to bring on affiliates before opening the program publicly.

The short version: you get 30% of every payment, every month, for as long as your referrals stay subscribed. Not a one-time payout. Most SaaS affiliate programs I looked at offer 25-30%, so I wanted to come in higher since we're early and I'd rather give more to people who get in now.

I don't have a CS degree. Never shipped a product. Never started a company. One month ago I didn't know what a Next.js route was.

I built Four-Leaf.ai, an AI career prep platform with voice mock interviews, resume tailoring, and negotiation coaching. It's live, it has users, and I launched it on Product Hunt today.

We now look at actual code less and less. What does your developer experience look like now that we are getting closer to a non-IDE world? I am using @Superset and am loving it so far. In my corporate job, I have 10-15 repos going at once and it's all super organized. What are you all using?

Hey everyone! Excited to share what we've been working on.
We just added Virality Score to OpenCut AI, a neuroscience-backed engagement analyzer that grades your video A-F across 7 signals before you hit publish.
How it works
Drop a video into the editor, click "Check Virality Score," and get:
- Hook Strength does your first 1.5s grab attention? (33% of TikTok viewers scroll past in 3 seconds)
- Curiosity Gap is there unresolved tension keeping viewers watching?
- Audio Energy are your levels and pacing right for the platform?
- Beat Sync do visual cuts land on audio beats?
- Face Presence the #1 short-form retention driver
- Emotional Arc does your clip build to a payoff or flatline?
- Viral Potential LLM-powered composite prediction
Each signal scores 0-100, rolls into a letter grade, and comes with actionable suggestions ranked by expected impact.
Why we built this
Most creators publish and pray. The difference between 10 views and 100K views is rarely the content it's the presentation. We used neuroscience research (dopamine prediction loops, orienting response, information-as-reward) to identify what actually holds attention, then built scoring algorithms around real platform data:
- 65% of 3-second viewers watch 10+ seconds
- Text overlays increase view time by 28%
- Videos with 65%+ 3-second retention get 4-7x more impressions

Also in this update: YouTube to Reels
Paste a YouTube URL and OpenCutAI will auto-detect the best 15-90s clips, score each one, reframe to 9:16 with face tracking, add captions, and export ready-to-upload reels. The full pipeline runs locally.
Would love to hear from creators, what signals would you add to the scoring? What's the first thing you'd test this on?

Hi everyone! I'm new here and want to introduce myself to the community!

My name is Tobias, I'm from Germany and I'm in the business for quite a while now - started with website development and design, moved on to ios development, and (skipping a few steps here) landed in the product owner business a while ago. I always had a strong opinion on design and user experience.

A small but very nice update from the murmur corner of the internet:

A week after launch on Product Hunt, murmur got the ElevenLabs startup grant! Given that it's built around practicing awkward, important, and often slightly dreadful phone calls out loud, this feels especially fitting.

Just wanted to say thank you again to everyone here who supported the launch, upvoted it, commented, or gave it a try. Product Hunt gave the app a real push early on, and this is one of those moments that makes the whole thing feel a bit more real.

The grant should help me keep improving the voice side of the experience and give the app a bit more room to grow without immediately putting the brakes on everything.

We reduced noise. We improved clarity. We even changed accents.

But sometimes the biggest meeting problem isn't background noise. It's Todd.
odd from Finance. Todd who turns a 30-second update into a 12-minute spoken-word essay about spreadsheets. Todd who says "just to piggyback off that" and then doesn't piggyback he builds an entire second pig.

So we built AI Deboringifier

A Voice AI feature that detects boring speech patterns and automatically makes them less boring.
https://x.com/krispHQ/status/203...

I wrote something like this back in 2023. Life was slower then. Fewer people knew me, fewer people used what I built. Now, more people are coming, using my work, trusting it. And sometimes I think should I clean things up, remove old things that don t move anymore? But I don t. I just let them stay.

When I started building saas, I didn t know what would happen. I was just one person, sitting with a laptop, trying to build something simple. I had a job before. Life was okay. But inside, I felt something was missing. So I left that path and started this, not knowing where it would go.

The early days were quiet. I built, I changed things, I made mistakes. Many things didn t work. Many nights felt very long. Sometimes I forgot why I even started. But still, I kept going, slowly.

Then I launched Slashit App. I didn t expect much. Maybe a few people would try it, maybe no one would care.

We launched Slashit App yesterday on appsumo and completed the first 24 hours since launch.

Here s what happened:
-> $1,033.56 in sales
-> 18 new customers
-> Featured in Top 9 deals
-> 2 reviews with 5

What we did mostly last 24 hours? If I will share this, you will not trust us, yes you will not trust us. We slept 2 hours each. That mean I slept 2 hours and my partner slept 2 hours in this last 24 hours. Still working hard for next 24 hours.

We replied all the questions, support message within minutes. Asked brutal feedback for improvements for our users. Shared possible solution to users that they are facing.

Hey PH! I'm Landon, founder of ReadyPermit.ai.

We help real estate investors, developers, and homeowners know what they can build on any property in 20 seconds. What consultants charge $3,500+ for and take months -- we deliver instantly.

I m Mohamed, an AI engineer and the founder of @Sharkforce, the AI trust layer for the modern workforce.

I ve spent the last few years building AI systems for real-world operations from computer vision to workflow automation and one thing became obvious:

Companies don t actually know if work is truly happening.

I want to talk about how I built @MCPCore - a cloud platform where developers create, deploy, and manage MCP servers from their browser - and what 10+ years of backend experience taught me about using AI in production work. Not the hype version. The honest one.

Every idea is already taken. So what?

I'm a backend engineer. I've spent most of my career building server-side systems, and I currently lead a backend team at my company. At some point I wanted to build something of my own. A product. Something real.

Over the last 4 years I have spoken to hundreds of companies.

Here is what I learned:

We're enhancing Rankfender's Content Generation Engine (RCGE) and v2.2 is coming in the next few weeks. Before we lock things in, we want to know what actually matters to people who use content generation tools.

Here's what RCGE already does:

• Intelligence. It analyzes the top 10 ranking articles for any keyword and identifies patterns. What structure do they use? What headers? What formatting? What makes them get cited by AI? Then it builds a brief based on what actually works, not guesswork.

• Structure control. You can add, remove, and reorganize H2s before generation. No fixed templates. You decide the flow.

• Inline images. Generated articles include images, not just text walls.

• Regeneration. Mess up one paragraph? Regenerate just that part. Not the whole article.

What we're adding in v2.2:

When we started building Murror, we did what most technical founders do: we disappeared into code for months.

We built an emotion analysis engine. We refined our NLP pipeline. We designed beautiful dashboards. We were so proud of what we had made.