... Ananya. Ananya is a freelance designer. For three years, every new client meant the same ritual: copy last month's invoice spreadsheet, fix the formulas she broke last time, chase payments over email, and repeat. One evening, annoyed for roughly the four-hundredth time, she thought, someone should just build a simple tool for this. Then came the thought that separates indie hackers from everyone else: why not me? She didn't write a business plan. She didn't make ... ... fall back on. Revenue isn't a vanity metric for them. It's oxygen. They ship before they're comfortable. Perfection is expensive when you're a team of one. Indie hackers learn early that a working product with rough

... trying to decide between building several small, focused SaaS products or keeping everything under one product. Let's say the tools are related and aimed at roughly the same users, but each solves a different problem. My feeling is that a focused product might be easier to sell. If someone has one specific problem, paying $20 30/mo for a tool that does exactly that feels reasonable. But if I put 5 10 tools together and charge $70 100/mo, even ...

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... shipped a render queue in about four hours with Claude Code. It worked fine. Three weeks later renders started failing at roughly 1 in 40, and it took three days to find, because the retry was firing against a stale job id. I had approved that diff twice without reading past the function signature. That isn't an AI problem. It's that approving generated code feels like reading it, and it isn't. When I write something badly ... ... remember roughly

... Product Hunt is becoming brutally competitive. And if you ve been launching here for a few years, you re not imagining it In 2023: ~41K products were submitted ~15K were featured roughly 1 in 3 made it to the homepage In 2025: ~83K products were submitted ~5K were featured roughly

... Virtual Assistants OpenHuman = Productivity + AI + Open Source Upstream = Productivity + AI + Email Coming in third was the Developer Tools category, which more than doubled its growth from the previous year and saw several very large launches: Kilo Code v7 for VS Code = Dev Tools + Open Source + Software Engineering Plurai = Dev Tools + AI + API  Drizz = Dev Tools + AI + No-Code Terminal Mode by Even Realities = Dev Tools + TK Open Wearables = Dev Tools + Open Source + Wearables Around this time last year, Microsoft ... ... folded GitHub into its CoreAI group. Fast forward to this year, and it s apparent that it s still a vital tool. Here were the five biggest GitHub launches: OpenHuman Kilo Code v7 for VS

... About eighteen months into our product, we hit a wall that wasn't a feature problem. Every new thing we shipped took roughly three times longer than the last comparable one. Bug fixes kept reopening. Two engineers had built quiet, undocumented workarounds around the same broken assumption in our data model, and neither knew the other had done it. The obvious answer was a rewrite. We didn't do it not immediately. We spent a month arguing about it instead ... ... forced us to name the actual problem: it wasn't the codebase. It was one early decision about how we modeled user accounts that everything else had been built to work around. We ended up doing a partial rebuild. Roughly

... convert trials to paid 52% better than non-AI apps, 8.5% against 5.6% at the median. They monetise downloads about 20% better. Realised lifetime value per paying user runs $18.92 a month against $13.59, and $30.16 annually against $21.37 roughly 40% higher on both. The other half, same report: annual retention for AI apps is 21.1%. For non-AI apps it's 30.7%. Monthly retention is 6.1% against 9.5%. Refund rates run about 20% higher, 4.2% against ... ... with is 21% intact and you're wondering what changed. Nothing changed. You just finally got the second number. There's independent data pointing the same way with a sharper edge on it. Kyle Poyar, working with ChartMogul, classified roughly

... watched 68,879 real Google searches in March 2025. Not a survey about how search feels. Actual behaviour. When an AI summary appeared, people clicked a traditional search result on 8% of visits. When it didn't, 15%. Roughly half. They clicked a link inside the summary itself on 1% of visits. And they ended the browsing session entirely on 26% of pages with a summary, against 16% without. An AI summary showed up on 18% of searches ... ... find points the other way 973 ecommerce sites, $20 billion in revenue, 12 months of first-party analytics, more than 50,000 ChatGPT-driven transactions compared against 164 million from traditional channels. ChatGPT referrals were about 0.2% of sessions, roughly

... asking for. Five teams that already process real documents as part of their work. Invoices, delivery slips, receipts, statements, forms, anything where you extract fields and then do something with the result afterwards. One real workflow per team, roughly 20 to 100 documents through space ocr. Redacted is completely fine. I set the fields up with you, and we compare the output against your real values together. The number I actually want. When the extraction is wrong, does space ... ... checks anything afterwards. That is a good place to be, and you probably do not need this. Comment here or email me at oisidonut@gmail.com . It helps if you say what your team does, what kind of documents you process, roughly

... make small conflicting decisions about naming, style, and edge cases, nobody wrote the assumptions down, and the merge is where it dies. Cost reality check, since this is the part nobody quotes: Anthropic's engineering blog put agents at roughly 4x the tokens of a chat session, and multi-agent systems at roughly

... started testing Reddit ads for Causo Fundraising, mainly because Reddit has already been one of our strongest organic acquisition channels. After ~2 weeks: 226 spent 31,483 impressions 165 clicks 0.52% CTR 1.37 CPC ~10 conversions Those conversions have roughly covered the ad spend, so technically the campaign has paid for itself. Still, the results are quite a bit weaker than we expected. The biggest surprise has been the difference between creatives. One ad got 0.052% CTR . Another ... ... That is roughly

... start my own AI-native architect studio Relay Labs. Veritome is the result of my even boy-like fascination in working out logical solution for everyday pain : a production Next.js and Postgres application 105 data models, 350+ API routes, roughly 1,000 automated tests, ten releases in the last month, built and hosted entirely in the EU. I give checkable numbers deliberately. The point is not that I learned to code; it is that the regulatory logic in this product ... ... article-by-article classification, provider versus

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually designed, not just maintained. That's the gap forg.to is built to close. Here's why the gap exists ... ... major platforms LinkedIn, X, Substack, Medium, and Reddit among them. The result: more than 40% of LinkedIn's long-form posts were flagged as fully AI-generated, the highest share of any platform measured. LinkedIn alone accounted for roughly

... efficiency numbers aren't close, and not in the direction I expected. One widely cited test had Claude Code completing an identical multi-file feature task using around 33,000 tokens with zero errors , while Cursor Agent burned roughly 188,000 tokens on the same task and hit several errors along the way, a 5.5x gap for the same deliverable. Separately, other community head-to-heads put Claude Code at roughly

... thinkingmachines : Inkling (Jul 17), Inkling Small (Jul 30) Ant Group : Ling-3.0-flash (Jul 23) Kuaishou : KAT-Coder-Air V2.5 / Pro V2.5 (Jul 10) SenseTime : SenseNova U1.5 (Aug 3) That's 17 vendors, 25+ models, in roughly one month. A new model roughly

... paid conversion. 25%+ with PQL. Webinars (live): 22-33% CTA conversion. High-engagement webinars hit up to 69%. AI search (GEO/AEO): 4-5x higher conversion than traditional organic. One B2B study found AI-referred traffic converted at 7.12% vs 1.37% for organic. Another found 14.2% for AI traffic. Quora: 2-5% conversion. 35% of B2B decision-makers answer questions on Quora. Reddit: 0.3-1.5% post-to-customer conversion in fit subreddits. CPC of $0.50-$2.00 vs

... total. I did exactly that twice. 121 KP total. Forum Threads +58. Comments +48. Reviews +10. Maker +6. Eight forum threads produced that +58. Every comment I have ever written on this site produced +48. So a thread pays roughly 7 KP and a comment pays roughly

... Genuinely curious how bad this problem is for other people, or if it's just me. I track roughly how much time I lose every week just copying stuff out of emails into HubSpot names, companies, deal details, next steps. It's not hard, it's just constant, and half the time I forget to log something until it's too late to actually follow up on it. I ended up building a small AI tool for myself that reads ... ... sales emails and call notes and pulls that info out automatically, with the source sentence and a confidence score attached , with overall analytics so I'm not just trusting a black box. Still rough

... nika  Fair point, and yeah I overcomplicated it Simplest version: run more than one product, and most CRMs turn into a mess. LiftUp keeps each product's stuff cleanly separate so you always know what's what. Competitors? Plenty of CRMs let you add extra pipelines. The difference is they bolt it on as a setting, whereas LiftUp is built around it from the ground up. Whether that matters enough is exactly what I'm here to find ... ... would be: A stable core product A clear landing page and positioning Real users who have used the product before launch Basic analytics to measure what happens after launch A strong reason for people to choose this product over alternatives

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... registration, up from 70.1 million in the prior six months. In the first half of 2025, it removed roughly

... Google recently announced and pushed two new models into the Gemini API. For informational purposes, I am breaking down what's confirmed vs. what's just early testing chatter so far. Nano Banana 2 Lite (gemini-3.1-flash-lite-image): Text-to-image in around 4 seconds. $0.034 per 1K-resolution image. Positioned as the direct replacement for the original Nano Banana. (gemini-2.5-flash-image) Rolling out across AI Studio, the Gemini API, Gemini Enterprise, and consumer surfaces. (Search ... ... /sec of video output, same rate as Veo 3.1 Fast. Confirmed limitations: Capped at 10 sec of generations for now, no audio reference uploads or scene extension yet in the API, character consistency across scene changes still has rough

... source spam filter called SpamAssassin doing the filtering. That world is gone. On the consumer side, Gmail launched in 2004 and gradually took over. By 2015 it had overtaken Hotmail as the most popular US email provider, and today roughly three-quarters of US adults aged 18 64 use it. Source: https://www.statista.com/chart/3... The business market consolidated along the same lines, just a few years behind. Google launched G Suite (now Google Workspace) in 2006. Microsoft responded with Office ... ... Today those two products account for roughly

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... just says "an AI tool existed in this editor." That is not an audit trail. I have been building LineageLens to capture provenance at insertion time before the diff ever hits git. Each insertion generates a structured record with roughly

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor