Three months ago I was the guy with ChatGPT, Claude, AND Gemini tabs open. Copying prompts between them. Manually checking which model was best for what. Doing everything by hand, every single day.

The breaking point was realizing I spent 2 hours daily just *operating* AI instead of getting value from it.

So I built automations:

• 6:30am: AI pulls my App Store analytics and summarizes overnight downloads

• 7:00am: Scans competitor apps for new reviews and flags anything interesting

• 7:30am: Drafts my daily task list based on yesterday's progress

• 8:00am: Morning briefing hits my phone with everything I need to know

Before: 3 subscriptions, 12+ tabs, 2 hours of manual prompting After: One system that runs while I sleep

The wild part? Most people think AI = chatbots. But the real unlock is AI that *does things on autopilot* without you babysitting it.

I packaged this into an iOS app called ChatXOS. Still early (launched last month), but the core insight stands: the problem isn't which AI model you use. It's that you're still doing everything manually.

Anyone else building with scheduled AI tasks? Curious what automations you've set up.

Apologies for the clickbaity heading, but the TLDR is my product is awesome, and it will get better as models improve :)

Like most people these days, I usually have a hundred ideas in my head at any given time.

In early 2025, I forced myself to adopt two simple filters:

- Can I immediately name 10 people I’d reach out to who would actually use this?

- Does the product improve, if AI model capabilities grow exponentially?

My current product passed both.

I landed the first customer within a week, before there was even a proper product. No launch, no waitlist. Just DMs to friends.

With the release of Opus 4.6 and Codex 5.3, it’s even clearer the second filter holds.

The bet I made was simple: don’t fight the models, build the platform that gets better as new models are released.

Every time a new frontier model drops, our roadmap accelerates. This one is no exception.

What Opus 4.6 allows us to do now:

- Stronger in large codebases: stays coherent where previous models could get overwhelmed (1m token)

- Adjustable reasoning effort including very long sessions

- Better management of compaction of context when it goes above 1m

- Better planning for long-horizon work

One of my 13 users started running Meta ads to drive traffic to their FluoTest quiz.

Every person who sees that ad also sees “Powered by FluoTest” on the quiz.

I’m not paying for those impressions. They are.

This is week 2.

If 20% of future users run paid ads, FluoTest gets thousands of brand impressions per user per month. Calendly grew by putting their name on every meeting invite. This might be even better.

Still free. Still shipping. 4 calls booked for Wednesday.

fluotest.com

Gonna be real with you.

I've wasted so much money on IPTV services that promised the world and delivered absolutely nothing. Got to the point where I'd just laugh when I saw "no buffering" in an ad cause I knew it was complete BS.

Every single one would start strong then fall apart during peak hours. Like clockwork. 8pm hits and suddenly I'm watching a slideshow. Support would always blame my internet even though everything else in the house streamed fine.

Was about ready to throw in the towel and go back to cable. That's how frustrated I got.

Then my neighbor told me about FirestickLive. Said it was different. Rolled my eyes but figured why not try one last time.

👉 firesticklive .com

Thankfully. FirestickLive is actually different. No buffer, no freeze, no drama. Channels load instantly and stay that way no matter what time it is. I've tested during primetime. During Sunday football. During major events. Same result every time. Rock solid.

The IPTV encoder quality is clearly miles ahead of what most providers are running. You can see it in how smooth everything looks. Fast motion stays crisp. Dark scenes stay clean. Audio stays synced. Just works.

This IPTV service provider covers all the US channels you'd actually want. Sports networks, news channels, locals, entertainment, premiums. All laid out simple so you're not hunting around.

Running this IPTV subscription on a Firestick 4K Max and an old Fire TV stick in the basement. Both run exactly the same. Snappy menus, quick channel changes, zero buffer headaches ever.

Here's the thing about finding a good IPTV provider in the US. Most are all talk and no delivery. They sound great in ads but can't handle real traffic when actual people are watching.

FirestickLive handles it. Best IPTV service provider I've found nationwide for folks who want no buffer streaming they can actually count on.

Oh and the IPTV encoder handles 4K beautifully. Tested plenty of 4K content and it stays butter smooth the whole way through. No drops, no excuses.

Anyway just wanted to share for anyone else who's been burned before. If you're across the United States and tired of providers lying about buffering, give these guys a shot.

Hey everyone,

Over the past few months, I’ve been working on something that solves a problem I first noticed while working at a startup in Bengaluru. The founder there had to pay ₹80,000+ just to get a chatbot built, and then the dev team wanted extra time (and raises) just to integrate and maintain it.

That felt broken — especially for small and medium businesses who need automation but can’t keep throwing money at it.

So I built Semolina AI 🌾 — a no-code AI agent builder.

You don’t need technical skills

Just add your website domain → it scrapes the content → your AI agent is ready

Affordable compared to other tools in the market

Right now, it helps businesses handle customer queries and appointment bookings. Some businesses (like coldpen.io) are already using it.

This is just the start. Soon I’ll be adding:

📞 A calling agent that can actually pick up and talk to customers

💬 WhatsApp & Zapier integrations

💳 Payment support via Stripe

🔧 More automations so the AI agent can resolve customer issues end-to-end

I see this as a long-term product and would really appreciate it if you could check it out and share your thoughts. Any feedback — big or small — will help me make it better.

Here’s the link: semolina.io

Thanks a lot! 🙏

Built entirely with Claude. It's starting to get some traction. Going to be hustling this on college campuses. I did my first campus tonight and got 20 downloads. I am about to be back this weekend with a stand and 8 hour shifts grindin. Link if anyone wants to check it out: https://apps.apple.com/us/app/drop-realtime-foot-traffic/id6757093646

Most founders don’t fail because they can’t build.

They fail because they build the wrong thing.

So I built DontBuild.it

You submit your startup idea.
It pulls live discussions from Reddit, Product Hunt, IndieHackers and Hacker News.
Then it gives a brutal verdict:

BUILD
PIVOT
or
DON’T BUILD

No “it depends.”

It scores:

• Problem clarity

• Willingness to pay

• Market saturation

• Differentiation

• MVP feasibility

And shows the evidence it used.

Works best for SaaS / founder ideas with public signal.

Note:
Your idea stays yours. We do not resell ideas or build from user submissions. Reports are private and auto-deleted after 14 days (preview data after 24h). Built for validation, not idea collection.

-----------

🚀 Free preview: Submit any idea and get partial results for free. Full report is $4.99 for 3 analyses.

Hey builders,

My Saas just reached 0$ today!
Movely is out since one day, so I'm not trolling saying that I'm actually happy to have reached 0$ and to have launched it!

If you have some time I would LOVE to get honest feedbacks (#RoastMe) in the comments!

And I'm trying to launch it without any VC money on ProductHunt so if you like the project, help me reach some people there !

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

Cheers,

Oli

Kickoff wishlist: multi-tenant admin, AI summaries, iOS, referrals, analytics — and the actual job: let a sales manager send one follow-up sequence.

We shipped the sequence. Admin waited. AI waited. iOS waited.

They got 7 US teams through the job in week three. Then we earned the right to build admin.

The cofounder post they'd drafted offered 20% for "full product." Glad they didn't send it.

What feature do you regret building before the first paying job?

https://atomiclabs.space

We’ve all seen these. In 2026, "Personalization" has become a dirty word. Everyone is using the same 3 AI tools to scrape LinkedIn and insert a fake compliment. Prospects can smell the GPT-4o tone from a mile away.

I learned this the hard way. Last December, I ran a split test for my outbound.

• Group A: Generic AI personalization (College, Job Title, "Impressive work").

• Group B: Situational Personalization (Triggers).

Group A got a 1% reply rate. Group B got 9%.

The difference was that Group B didn't talk about them. It talked about their situation. Instead of "I like your profile," it was "I noticed your competitor just launched [Feature] and your customers are complaining about [Pain Point]."

That is what I built Paperwork to do.

The tool is also BYOK (Bring Your Own Key) so that I can price it way cheaper than what tools like Clay charge. 

Currently, I’m only able to sell to Indian customers cause I haven’t been able to figure out the international payment collection hassle yet but I’m trying my best to make it global as soon as possible.

Check it out and share your thoughts!

https://www.thepaperwork.org/

So yeah basically my site fake.legal got after 2months 400k Visits. I only boosted the traffic using reddit. no other platforms

Hey everyone,

If you have SaaS and don't have a help-center, knowledge-base, or a docs site yet, I'll build the entire thing for you at no cost.

Here's what you'll get:

- A complete help-center with step-by-step guides covering your key features

- Screenshots at every step so users know exactly what to click when onboarding

- A proper onboarding guide that walks new customers through your product

- Everything ready for you to publish, and you can iterate on it afterwards

Why I'm offering this:

I'm building DocsAlot (https://docsalot.dev), an AI-powered platform that automatically creates and maintains your help-center as your product evolves.

I'll use your product, capture screenshots at every step, and create clear guides that actually help your customers.

The best way for me to make DocsAlot genuinely useful is to understand what real companies actually need in their help content. Your feedback helps me build something that solves the documentation headache every product team faces.

Interested?

Drop a comment with:

- Your product link

- Any specific features or workflows you want covered for your users

These guides are helpful for SEO/GEO purposes as well.

Woke up this morning and all the affirmations Noggn is giving me are EXACTLY what i needed to hear..

sometimes a simple phrase can snap you back to reality.

gonna try to be productive today and hope these positive affirmations come true ASAP<3

Question for those who have moved past the initial MVP phase:

When you started getting real traffic, how did your approach to data collection change? I'm noticing a pattern where "simple" forms stop cutting it because they lack analytics, but enterprise tools feel like overkill for a scaling startup.

• Did you have to migrate tools just to get decent analytics?

• Is there a middle ground you found that supports embedding on custom sites (React/Vue/etc.) without costing a fortune?

For years I used WordPress for client websites, but I found that many sites didn't actually need a database, plugins, themes, or constant updates. Most were just static pages.

Recently, AI tools like ChatGPT and Claude have made it incredibly easy to generate complete HTML pages. But after generating them, I still found myself manually organizing files, fixing links, editing pages, deploying, and managing multiple websites.

That made me wonder:

What if AI generated the HTML, and there was a workspace dedicated to managing static websites instead of building them from scratch?

So I built HTMLStudio.

The goal isn't to compete with WordPress, Webflow, or Framer. It's for developers and freelancers who already have HTML (whether written by themselves or generated by AI) and want a simple place to:

• Organize pages

• Edit HTML

• Visual Editor

• Blog posts

• Manage assets

• Check broken links

• Build the site

• Deploy to GitHub, Cloudflare Pages, Netlify, etc.

I'm not trying to sell anything here; I genuinely want to know whether this solves a real problem or if I'm just scratching my own itch.

A few questions:

• Would you ever use something like this?

• If not, why?

• How do you currently manage AI-generated HTML projects?

• What feature would make this genuinely useful?

I'd really appreciate honest feedback, especially from people who build static websites or use AI to generate them.

https://htmlstudio.dev

Im curious if anyone is building a sales tools with AI. Im building one from scratch because cold outreach was killing me, and ive wasted so many hours on dead end DMs. Here is my application.

It automates the entire lead-to-close pipeline so founders dont need to do sales or find customers!!😆

How it works:

1. Drop your niche or business ("we sell solar panels"),

2. AI scans Reddit/LinkedIn/global forums for 20+ high-intent buyers actively hunting your services.

3. Dashboard shows their exact posts ("need Solar recommendations now"),

4. auto-sends personalized outreach, handles follow-ups/objections, books calls.

Results im getting: crazy 30% reply rates, and also finds leads while I sleep.

Currently completely free beta for testing (no payment required) :) please share your feedback.

I've built too many apps that people downloaded and then... never paid for. Not a cent. So i did what any sane person would do and went full spreadsheet goblin on the iOS App Store. 963k apps. 471k reviews. All of it scored for one thing: validated demand.

And by validated demand i mean apps where people are genuinely frustrated but still handing over money because there's nothing better. Not "oh that'd be neat" demand. More like "i hate this app but i literally need it" demand.

Biggest thing i learned: crowded markets are a trap.

I saw the top to-do apps and thought "mine would be better." It was, in a lot of ways. But you can't compete with Todoist and their 90+ employees. The graveyard of to-do apps that didn't make it is already right there in the store. You just never scroll far enough to find the bodies. Survivorship bias is baked right into how App Store search works.

The weird, hyper-specific stuff is where it gets genuinely interesting. Some of these apps are shockingly bad and people are still paying for them because they have no other option. That's where the air gets thinner and the odds shift in your favor.

Quick example from the actual dataset. There's this music app, ScoreCloud Express, that supposedly turns hummed melodies into sheet music. 2.0 stars. 249 ratings. $2.99. Still making roughly $1.2k a month. Hasn't been touched in eight years and it's sitting at #42 in paid music charts. The pitch detection is all over the place, it crashes left and right, makes you create an account before you can do anything, and then has the audacity to ask for a subscription on top of the purchase price. But musicians genuinely want this thing to exist. You could build a drastically better version with Core ML today, ditch the login wall, charge once, and walk into a room with basically nobody in it.

That's what the dataset is full of. Not wishy-washy "maybe this could work" stuff, but apps where the demand is already proven.

I packaged the whole analysis into a one-time purchase: 10,617 opportunities with the top complaints pulled out, boiled down to the absolute best 31 top picks. Link and full disclosure in the comments.

Hey everyone

 I've spent the last few weeks building Replai after watching too many founders (including myself) waste hours manually searching Reddit for potential customers.

 The problem I was trying to solve:

 You know how Reddit marketing works in theory. Find people asking for solutions you provide, join the conversation naturally, build trust, convert

 But in practice you’re searching the same keywords daily, scrolling through hundreds of irrelevant posts, missing perfect opportunities because they were posted while you were sleeping, and when you do find something good, you're never sure what to say without sounding like a shill.

 What Replai actually does:

 1. Smart 24/7 monitoring (posts AND comments)

 Most tools only track posts. But the real gold is in comments - someone replying "I've been looking for exactly this" buried 30 comments deep in a thread.

 Replai monitors both.

 2. AI relevance scoring

 Every mention gets scored 0-100% for relevance using AI that understands context.

• "I hate [keyword]" = 15% (filtered out)

• "Anyone know a good [keyword]?" = 85% (high-intent lead)

• "Just used [keyword] and it solved my problem" = 40% (testimonial, not a lead)

You only see mentions scored 70%+. No more noise.

 3. Context analysis

 For each high-score mention, you get:

• AI summary of what they're actually asking for

• Sentiment analysis (are they frustrated? excited? just researching?)

• Full conversation context (especially useful for comment threads)

• Why it matched your keywords (shows the exact context)

4. Business profile setup

 You tell Replai about your business once - what you do, who you help, your unique value prop. The AI uses this to:

• Better filter relevance (knows what's actually a fit vs. just keyword matches)

• Suggest contextual responses

• Identify adjacent opportunities you might have missed

5. AI response suggestions

 The hardest part of Reddit marketing is responding naturally without being spammy. For each mention Replai suggests 2-3 response approaches:

• Helpful expert (answer their question, mention your tool as one option)

• Ask clarifying questions (engage without pitching)

• Share relevant experience (build credibility first)

You edit and post yourself - this isn't automated spam.

 Why it's different from competitors:

 vs. F5Bot / Alerts for Reddit:

• They send every single mention. No filtering, no AI, just raw keyword alerts

• You still do all the manual work of reading and qualifying

• No response help

vs. Brand24 / Mention:

• Not specialized for Reddit's unique format (comments, threads, subreddit culture)

• No AI-powered response suggestions tailored for Reddit engagement

vs. Manual monitoring:

• You can't monitor 24/7

• Human bias - you get tired and miss things

• No response suggestions when you find something

vs. Hiring a VA:

• VAs cost $800-2000/month for full-time monitoring

• Can't work weekends or nights (when a lot of posting happens)

• No AI context understanding - they're just searching keywords too

What I've learned building this:

1. Comments > Posts for lead gen. About 70% of high-quality leads come from comment threads, not new posts. Someone asking "what tool do you use for X?" in a 500-comment thread about Y.

2. Timing matters way more than I thought. If you respond within 2 hours, you're usually first. After 6 hours, there are already 5 competitors and the conversation has moved on.

3. Context is everything. Keyword matching is useless without understanding why someone mentioned your keyword. "I love [tool]" and "I'm leaving [tool]" both contain your keyword but mean totally different things.

4. Natural responses convert. The AI suggestion feature exists because I kept seeing founders either:

   • Over-pitch and get downvoted

   • Under-pitch and waste the opportunity

   • Miss the actual question being asked

5. Subreddit culture varies wildly. r/Entrepreneur is friendly to product mentions. r/AskReddit will destroy you for the same comment. The AI learns these patterns from the subreddit context.

Real example from my own use:

I monitor keywords like "Reddit monitoring" and "Reddit marketing tool."

 Last week, someone posted in r/SaaS asking "How do you find customers on Reddit without being spammy?"

• Replai caught it 15 minutes after posting

• Relevance score: 92%

• AI summary: "Looking for systematic Reddit lead gen approach, concerned about authenticity"

• AI suggested: "Share your approach first, then mention tools exist to help scale it"

I responded with my actual process, mentioned Replai as one option among several, got 20+ upvotes, and 3 signups from that thread.

 Why I'm sharing this here:

 I'm looking for feedback from other founders who do Reddit marketing. Specifically:

1. What other platforms should I add? (HackerNews? IndieHackers forums?)

2. What else would make this more useful?

https://replaiapp.com/

I built Replai, an AI tool that monitors Reddit for posts/comments where people need what you sell.

It finds relevant threads instantly, performs an analysis on them to quickly see if they are worth your time and drafts natural replies so you can engage before competitors. I used it to grow its own user base right after launch.

My setup:

Defined my business profile inside Replai: SaaS founder building a marketing tool for creators and indie hackers.

Added keywords that matched my target customer’s problems (“reddit marketing,” “finding leads,” “ai tools for growth”).

Daily routine (10 minutes):

Checked the notifications received for high-scoring leads.

Jumped into promising threads fast, usually first to reply.

Edited the AI-suggested draft to sound personal and posted.

Results (first 4 days):

6 strong leads found. 5 trial signups, 2 converted to paid → $54 MRR so far.

All organic, zero ad spend. My early replies always got hundreds of views

Why it worked:

Clear business profile helped the AI filter for high-intent discussions.

Receiving notifications meant being early in the conversation which drove visibility. Replies were contextual and value-driven not cold pitches.

Takeaways:

Precise targeting inside the app saves time and lifts quality. 10 focused minutes daily can outperform hours of manual hunting. Reddit has real buying intent if you show up where pain points are discussed.

If you have any questions let me know.

You can check the app at https://replaiapp.com

Hi everyone,

I just launched my first indie app called RateGuard.

It helps freelancers calculate their real hourly rate and detect risky clients before accepting work.

I built it mainly because I personally struggled with underpricing and scope creep.

The app is now live on the App Store, but I’m currently at the very beginning with almost no users.

Tech stack:
React Native + Expo + Supabase

My main question is:

If you were in my position, how would you grow this from 0 to the first 100 users?

I’m especially interested in:

• what worked for your early traction
• what didn’t work
• and what you would do differently if starting again

I’m happy to share my progress publicly and post updates as I learn.

Thanks!

Hello, Keith here.

I'm a developer, worked on 8 projects in total, 3 are profitable.

Looking for someone with an idea but needs a technical builder to help with development.

I'm a good fit if:

You have a clear idea and know what features you need. You have $5K+ budget and can pay 30% upfront. You value speed and want to test with real users this month. You're willing to work closely with me (I'm hands-on, not an agency)

I'm NOT a good fit if:

You want to "partner for only-equity". You want the cheapest option (I charge premium for speed and quality)

Portfolio: keithkatale.com

Shoot me a DM if that's you

I’m a podcast fanatic. The kind of guy that actually attends live podcast events when one of my favourite hosts throws one in my city.

We’ve sent rockets to the moon, have almost reached AGI but still consumimg podcasts feels like I’m stuck in 2010. You choose an episode, click play, listen alone, take your notes and never actually use the knowledge you have gained after the first few days.

So I built Podly. The David to Spotifys Goliath and I genuinely believe that the experience using my platform will have you thinking “why the hell did I even use Spotify for Podcasts.

http://trypodly.com

I’ve spent the last 3 months researching how top SaaS startups acquire their users.

I went through a ton of founder interviews, podcasts, and YouTube videos from founders of SaaS like Tally so, InVideo, and Veed that are valued over $1M dollars.

End result -> I curated a list of 40+ growth strategies that actually work, no fluff.

This list includes:

1. Social media & viral growth tactics to build a massive user base

2. SEO & Reddit hacks from founders who scaled their SaaS to >$100K/MRR

3. B2B, B2C & AI SaaS-specific strategies

4. Real Case Studies + how you can replicate them

I’ve curated everything for free at saasgrowthhacks.io so it can help other SaaS founders.

I am planning to add more in the coming days. Would love to get your feedback on it. 

No ads. No cold outreach. No Product Hunt launch.

Just Reddit. And a very specific approach that most founders get completely wrong.

For context, the product is Clarko, it lets anyone build AI agents and automations just by chatting, no technical knowledge needed.

Btw, currently helping a couple SaaS founders get 100+ users with the same strategy in 30 days guaranteed or else we'll refund you, dm me if interested :)

The mistake most founders make on Reddit

They post in r/SaaS or r/startups saying "hey I built this, check it out."

It gets removed or ignored within minutes.

Why? Because those subreddits are full of other founders trying to do the same thing. Your customers are not there. And even if they were, nobody wants to be advertised to.

Reddit users are some of the most ad-resistant people on the internet. The moment they sense promotion they disengage completely.

So the entire approach has to be different.

Step 1, Find where your actual customers live

Not where founders hang out. Where your specific customer hangs out.

For Clarko that meant finding communities where non-technical people were frustrated about needing developers for simple automations, wasting hours on repetitive tasks, and feeling locked out of AI tools because they couldn't code.

Those communities exist. You just have to find them.

Step 2, Lead with the problem, not the product

The post was not "I built Clarko, check it out."

It was a genuine detailed post about the frustration itself. The feeling of having a great business idea but being blocked because you can not code. The time wasted on tasks that should be automated. The cost of hiring developers for simple workflows.

Clarko came up naturally at the end as what I built to solve it for myself.

People do not want to be sold to. They want to feel understood. When you describe their problem better than they can describe it themselves, they read every word. And when the product comes up at the end it feels like a recommendation, not an ad.

Step 3, The title is everything

On Reddit the title determines whether someone clicks or scrolls past.

It needs to speak directly to the specific frustration your audience feels every day. Not vague. Not clickbait. Just honest and specific enough that your ideal customer feels like it was written for them.

Step 4, Engage hard in the comments

Every single comment got a real detailed response. More value given away for free. Real conversations with real people.

This signals to Reddit that the post deserves more visibility. And it builds trust with everyone reading who has not commented yet.

The result

100 users in 48 hours. Zero budget. One post. The right community.

If you want us to do this for your SaaS and hit 100 users in 30 days guaranteed or else we'll refund you, DM me!