Unpopular opinion about budget trackers: Receipt scanning in budget apps is overrated. Everyone wants it. Almost nobody uses it consistently and lets not even talk about the multiple types of receipts you have to take into account, the multiple currencies, multiple languages. Why? Typing "$47 groceries" takes 3 seconds. Scanning takes: - Open camera - Position receipt - Wait for OCR - Fix mistakes - Save If people are paying for it, then the expectation is that everything works. For my app - Fundly, I made manual entry on purpose. Thoughts? 🤔

Budget trackers are saturated but thats not enough excuse for me to skip giving it a better feel. Built real-time budget sharing into Fundly. Scenario: Wife adds a grocery run on her phone, it shows up on partner's phone before she's even left the store. No refresh. No sync button. It just… works. TestFlight link: testflight.apple.com/join/KU…

I built a SaaS product that i am no longer interested in pushing further with. All's done but it was not distributed at all. I've heard its possible to sell products pre-revenue but i'm wondering how that works, what platforms that can be done and if anyone has an experience with this. #buildinpublic

Fundly tech stack: 1. Backend: Supabase (PostgreSQL realtime auth) 2. Frontend: SwiftUI (native iOS) 3. Storage: Supabase Storage 4. Auth: Biometric email Total monthly cost: ~$25 Setup time: 2 days 2026 is wild. You can build production apps on a coffee budget. #indiedev #buildinpublic

Real conversation in our house: “Did you pay the bill?” “Wasn’t that you?” opens app still confused We were both tracking money… just separately. That’s when I realized — most budget apps aren’t built for couples. Working on fixing that 👀 #indiedev #buildinpublic

Budgeting apps are broken for couples. You either: • pay twice • manage spreadsheets • or constantly remind each other None of it works. So I built Fundly in 6 weeks. Real-time. Shared. Simple. TestFlight link 🚀 => testflight.apple.com/join/KU… #buildinpublic

Why I'm Teaching Myself to Build with AI (And You Should Too) youtu.be/2Lk7iOOMKjg

Most "tech founders" are just hiding in the code to avoid sales and marketing

Building a ticketing platform in 2026 wasn't the plan 😅 Pausing LeadsInsight (my AI Lead Generation app) for a week or two because I stumbled into distribution: 8-10 local event organizers (hundreds of tickets/month) won't stop complaining about basic features missing from existing platforms. Some don't even have proper dashboards for organizers So naturally, I started vibe coding the entire v1 last weekend and will roll it out this month. The play: use local ticketing revenue to bootstrap the AI leads app cover ad spend. Not the sexiest pivot but the math works. Also stumbled into a few ways AI can actually breathe life into this space - that's for later when I have time. For now, let me grab this revenue quick to fund the major thing

Frontend devs are cooked AI has taken your jobs

Building an AI-powered lead generation tool from Poland with 3 other co-founders. In this video, I break down what LeadsInsight actually does and who we're building it for. youtu.be/JdvtmWOatOc?si=tzx7… We're still early — building nights and weekends while working full-time jobs. 🚀 Join the waitlist: leadsinsight.ai If you're in B2B sales and tired of spending hours researching leads, this one's for you. #buildinpublic #startup #saas #leadgeneration #ai #poland #indiehacker

The waitlist is live but I have no idea how to get people on it. 😲 i spent sometime on the coming-soon page for our AI marketing tool (leadsinsight.ai/). Finally hit publish. Shared it everywhere possible. Felt good for about 10 minutes. Then nothing. Turns out building the thing is the easy part. Getting strangers to care is completely different. 😃 So now we're just trying stuff. Posting here. Lurking in communities. Telling anyone who will listen without being the annoying startup guy. 12 signups so far. Most are friends. A few aren't. Those few feel like progress. Anyway, back to figuring out distribution. leadsinsight.ai/

The Mistake We Almost Made We almost made a classic founder mistake. 4 co-founders. Building a B2B product. We're all heads down on features, integrations, and the tech. Nobody is talking about how we'd actually get users. The assumption was that building something great would lead people to find it. That's not how it works. Great products fail every day because nobody sees them. Average products win because the founders understood distribution from day one. So we stopped and had the GTM conversation earlier than planned. Not a polished strategy. Just the fundamentals: — Who's the first user? Not "sales teams." — Which sales teams? : What size company? What industry? — Where do we find them? : LinkedIn? Cold outreach? Communities? Content? — What's the entry point? : Free trial? Waitlist? Beta invite? — What makes them stay? : What's the "aha" moment that converts free to paid? We don't have all the answers. But now we're building with distribution in mind, not as an afterthought. The best time to think about GTM is before you think you need to.

Why most sales tools make cold outreach worse Everyone agrees manual lead gen is broken. Sales reps spending hours googling companies, hunting for contacts, guessing emails, copying data into spreadsheets. So the market is flooded with tools promising to fix it. Most of them make things worse. Here's what they actually do: take a list of 1,000 contacts, plug in some merge fields, and blast emails on autopilot. "Hi [First Name], I came across [Company] and was impressed by your work in [Industry]. I'd love to explore synergies..." You've received this email. Probably this week. Maybe ten times. It's not personal. It's not relevant. It's a template pretending to be a conversation.And everyone can tell. The signs of lazy automation: 1. Generic compliments that could apply to any company 2. No mention of anything specific about your business 3. No reason why they're reaching out now 4. A CTA that benefits them, not you 5. Sometimes the merge fields don't even work We've all seen it. We've all ignored it. We've all marked it as spam. The result? Cold outreach is dying. 1. Reply rates are at an all-time low 2. Spam filters are smarter than ever 3. Prospects are numb to anything that looks like a cold email 4. The few good salespeople doing real outreach get buried in the noise The tools didn't solve the problem. They scaled it. Now instead of one bad email, prospects get fifty. And they trust none of them. Here's where these tools went wrong: they automated the wrong thing. What they automated: 1. Sending emails 2. Follow-up sequences 3. LinkedIn connection requests 4. Volume, volume, volume What they should have automated: 1. Researching whether a lead is worth pursuing 2. Finding out what's happening at that company right now 3. Understanding why this prospect might actually care 4. Surfacing the context that makes outreach relevant Salespeople don't need help clicking "send." They need help with everything that comes before it. The hard part of sales isn't sending messages. It's knowing: 1. Who's actually a good fit? 2. What's going on at their company right now? 3. What pain points might they have? 4. What's a relevant angle to open with? That takes hours. That's what eats up 70% of a rep's day. And that's exactly what most tools ignore. They skip the thinking and go straight to the blasting. Then wonder why nothing works. The balance should be: 1. Automate the research — the digging, the enrichment, the "is this worth my time?" 2. Surface the context — what's happening at this company, who's the right contact, what's the angle 3. Let the human decide — who to reach out to, what to say, when to send AI handles the grunt work. Human handles the judgment. That's it. That's the line. This is exactly what we're building. A tool that does the research for you — finds the leads, enriches the data, scores them against your ideal customer, and gives you the context you need to write something that actually matters. Not another email blaster. Not another "send 500 messages a day" platform. Something that helps salespeople sell, instead of helping them spam. We're calling it LeadsInsight. Join the waitlist: leadsinsight.ai/

Working on an AI Lead Generation product. The goal is to enable sales teams to focus more on selling instead of tedious research work.

The way most sales teams still find leads is insane when you think about it I've been learning how several sales teams at traditional companies (logistics, manufacturing, services) still do lead gen, and it's wild. The typical process: - Google "industry companies in city." - Click through 20 tabs - Find a company that looks promising - Go to their website, try to figure out what they actually do - Jump to LinkedIn, search for the "right" person to contact - Can't find their email, so start guessing ( e.g, firstname.lastname@company.com) - Write an email from scratch - Paste it into a mail client, hit send - Open Excel, add a row with their name and "emailed 14/01" - Repeat 8 hours a day And then at the end of the month, the sales manager asks why they only contacted 50 new prospects. The worst part? Nobody knows: - If the emails were even opened - If they're contacting the right companies - If the contact person is still at that company - Which leads are actually worth pursuing I talked to a sales guy recently who said he spends 70% of his time researching and 30% actually selling. That ratio feels backwards. I am building something that automates all of the above and more, allowing teams to focus more on selling. How are your teams handling this? Still spreadsheets and manual research, or have you moved to something else? #LeadGeneration #BuildInPublic #startup