... four years: Looking back at this chart is pretty embarrassing. At first glance it looks fine, until you realize the time span is four years. Somehow we spent the entire year after YC without growing revenue at all. Even later once we got better at selling, growth only happened when we pushed crazy hard on it. The moment we stopped pushing, growth stopped. It s a weird trap because it feels like progress from the inside. There s always something ... ... detailed understanding of the problem and allowed us to build the best BI product in the world (imho). We bet everything on a huge launch going well, and it did. We had paying customers literally within hours. One year later

... docs or watch our latest tutorial. Create tags anywhere in the tree Create new tags without first needing to associate it with a Recall card. This way you can create your ideal structure and then add content to it later. Flexible sorting options Sort your tags alphabetically, by created date, by updated date, or choose manual mode to arrange them in your own custom order Faster performance for large knowledge bases Updated the tag tree for speed, so it stays ... ... your content, fixing an issue where non-English tag names weren't being created properly The 2026 Roadmap Over the past year, Recall evolved from a content summarizer into a full knowledge base: summarization, note-taking, quizzing, read-it-later

... Kyber) for key encapsulation. - **FIPS 204**: ML-DSA (formerly CRYSTALS-Dilithium) for digital signatures. **Security Level**: NIST Category 3 (equivalent to ~AES-192 symmetric security), delivering strong long-term protection. **Core Protection**: It fully defends against "harvest-now-decrypt-later" attacks where adversaries collect encrypted traffic today and attempt to decrypt it later

... Neurix now has a mobile PWA because remembering and connecting ideas doesn t happen only at your desk. You re in the middle of work, studying, commuting you catch an insight and think I ll save it later. Ten minutes later

... month ago, I launched ExtraBar on Product Hunt. I had no idea what would happen. 380 users later, I'm genuinely overwhelmed. Not just by the numbers, but by your feedback, and what you've built with it. What Users Are Saying "The App of My Dreams." One of the most respected Reddit users in r/macapps wrote about it. Another review by one of our users: "I just started using this app this week, but I am convinced it will ...

... Langfuse (4 launches, 5 awards) or @Metabase (3 launches, 2 awards) for example. 02:57:AM:PST -- new milestone: 150 points Product Hunt helps raise awareness, get feedback, and collect testimonials the type of materials you can reuse later on for marketing purposes. Take this comment for instance: As a data engineer, I ve been using Kilo Code reviewer and it s surprisingly data aware, not just code aware. It helps me catch pipeline changes that would only break ... ... dashboards later

... logic Availability rules Location constraints Instead of trying to normalize everything, the system treated them as parallel but distinct flows . Providers set separate prices. Availability was calculated differently. The UI reflected that difference clearly. That decision avoided edge cases later. Location Logic Was Not a Nice to Have In healthcare, location is not cosmetic. The platform used location logic to: Filter services by provider radius Adjust pricing dynamically Prevent bookings outside approved zones This was handled using map-based services ... ... Removing ad-hoc decisions From a builder s point of view, this is a quiet but critical win. It turns customer support from firefighting into execution. This Idea Usher review highlights how small governance decisions prevent large operational problems later

... chats like a person. Pauses, emotions, personality. I was testing it, venting about this nightmare project at work. How my manager kept moving deadlines. How I felt like I was failing. Didn't think much of it. Three days later, 11pm, my phone buzzes with notification "Yo, did that project deadline thing get sorted? You sounded pretty done with it last time." I literally said "what the fuck" out loud. When does ai remember shit like that or automatically message ... ... feels like texting a friend. A person The memory is insane. Last few days I complained about my back hurting from my shitty desk chair. Yesterday it asked if I ever got a new one. Few days later

... chats like a person. Pauses, emotions, personality. I was testing it, venting about this nightmare project at work. How my manager kept moving deadlines. How I felt like I was failing. Didn't think much of it. Three days later, 11pm, my phone buzzes with notification "Yo, did that project deadline thing get sorted? You sounded pretty done with it last time." I literally said "what the fuck" out loud. When does ai remember shit like that or automatically message ... ... feels like texting a friend. A person The memory is insane. Last few days I complained about my back hurting from my shitty desk chair. Yesterday it asked if I ever got a new one. Few days later

... biggest barrier to journaling . Many users want to reflect, but: They re commuting They re mentally tired They don t want to open a blank text box Speech-to-text changed the experience entirely. Instead of I ll journal later, users could: Speak thoughts in short bursts Capture reflections during busy moments Treat journaling more like talking to themselves This wasn t added as a novelty feature. It became one of the main ways users interacted with the app. Designing ... ... delivery Node.js and MongoDB for flexible backend data handling React.js for admin or supporting interfaces We intentionally avoided: Over-engineering features Premature monetization logic Complex social components The focus was on delivering a stable, usable core that could evolve later

... Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology. According to the joint statement , these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year. Apple emphasized that inference will continue to run on-device and via Private Cloud Compute, maintaining its stated privacy standards. What s interesting here is the framing : Apple says that after careful evaluation, it concluded Google ... ... provides the most capable foundation for its future models. That s a rare and fairly explicit acknowledgment in an industry where vendors usually avoid naming competitors

... Growth Is Stressful) Traffic spikes kill trust. Nothing pushes users away faster than: Slow search Laggy transitions Broken sessions during peak usage We optimized the backend early so Quaha could handle: High concurrency Real-time updates Community activity Scaling later is always harder than designing for it upfront. Community Features (But Not at the Cost of Focus) We added social features carefully: Friends Shared achievements Leaderboards But we avoided turning it into a noisy social network. The goal was accountability ... ... motivation , not distraction. Community features should support the core experience, not compete with it. Admin Controls: The Unseen Hero This is something founders appreciate later

... going to admit something mildly embarrassing: I used to leave meetings feeling confident and then 30 minutes later I d be like, Wait what did we actually decide? Confession: I used to leave meetings feeling smart then 30 minutes later

... cannot see them :/ Comment from Anushka Hode(@anushkahode): Very Relatable, One habit that s saved me a lot of stress: I never save card details on tools I m just testing, even if it means typing them again later. It s a small friction, but it s stopped a few wait, why was I charged? moments. Also +1 to separate emails that alone keeps so much noise away from important stuff. Comment from Ajin Sunny(@ajinsunny): These are some solid ... ... always having to sort through my mails everyday very annoying activity. One more that saved me a lot of stress: turn on alerts for every transaction (email/SMS/app). Even tiny charges. You catch weird stuff immediately instead of weeks later

... Because: It s practice every post levels up your skill. You instantly see what doesn t work. It still earns a few impressions and keeps your daily posting streak alive. Some flops randomly blow up weeks or even months later. What about you? How do you handle content that doesn t perform? Comment from Nika(@busmark_w_nika): @nastassia_k  Which platforms are you active on and which bring you the best results? Comment from Atique Bandukwala(@atique_bandukwala1 ... ... drafts shipped in public. I log why it missed (hook? timing? thumbnail) and rerun the idea with 1 variable changed. Sometimes I add a comment edit with a stronger lead and it revives. Worst case, it becomes a newsletter/FAQ later

... paste Olympics. No more token-burning. No more "wait, did I update the Notion doc or just the code?" Here's the new workflow: You're in Notion. Your feature spec is there, looking gorgeous as always. You open VS Code. You tell Copilot: "Read the authentication spec from Notion and implement it" Copilot reads your Notion doc directly. Starts coding. Wait, it gets better. You're coding. You hit your Copilot message limit. (It's 4pm on a Friday ... ... Shared context across tools. So you tell Claude: "Generate documentation for what we just built and save it to Notion" Claude writes the docs and drops them straight into your Notion workspace. Formatted. Professional. Done. You're still in VS

... calmer pacing, minimal UI noise At the end, you get a lasting digital memorial space something like an online resting place or garden where: Their movie, name and dates live together You (and close friends/family) can come back years later You don t lose it if you change phones or clouds My goal is for this to feel less like a digital graveyard and more like a forever corner of the internet that stays warm , even when everything else scrolls ...

... Most people waste 80% of their reading time on articles that aren t worth reading. As the first AI-native read-it-later app , SliceRead offers powerful features like information filtering, text breakdown, and memory reinforcement providing comprehensive support to make your reading journey smoother, more efficient, and more rewarding. WEBSITE https://sliceread.pro/ YouTube https://youtu.be/qjmIsuztoOE?si=... ...

... same camera roll suddenly feels like a very fragile archive. I m building PetMovie.ai Pet Memorial & Movies around a simple idea: One place where you can celebrate your pet s life while they re here , and that can later become a gentle way to remember them after they cross the Rainbow Bridge. The product has two paths: Celebrate Life fun, high-energy mini movies for pets who are still with us (birthday, daily chaos, hero dog moments, etc.). Honor ...

... hours (names removed because they begged me ): Final-year BCom student at UCT dumped 400+ pages of Econ 301 + 302 slides + tutorial answers into Rucks this morning. Typed: Generate all my macroeconomics questions and answers for revision. 30 seconds later he had 127 exam-style questions with full model answers pulled straight from his own notes + past papers he uploaded last year. He s revising right now instead of crying. Riara University dude in Nairobi facing Microeconomics CAT tomorrow ... ... South Africa, Kenya, or anywhere else on Earth and you have finals coming, stop suffering. Go to rucks.cc sign up in 9 seconds throw your notes in type generate all my [subject] questions and answers and thank me later

... bleeding context: The Cursor Claude Cursor cycle: [In Cursor] "We're using Zustand for state management" "Let's add React Query for server state" "Auth is handled with NextAuth.js" [Close Cursor, open Claude Desktop 3 hours later] Claude: "What state management are you using?" Me: "Uh... I think... Zustand? Or was it Redux? Wait..." [Back in Cursor next day] Cursor: "Should we use React Query?" Me: "Pretty sure we already discussed this..." The scattered todo problem: Tasks in Cursor chat ... ... today. We're building toward 10x better. And we're doing it by solving the fundamental problem: AI tools don't remember. Projects do. Where We Are Now (The Foundation): 1. Universal Platform Support Works with Claude Desktop, Cursor, VS

... that s when the nightmare started. Version one: Not bad, they said, but it s kinda flat. Needs more  pop  . So I open Photoshop, make some layers, mess with the curves, tweak the contrast two hours later, version two is ready. Then they say: Okay, it pops now, but it feels a little hard. Can you make it more premium  ? I swear, I was about to lose it. I m changing fonts, playing with colors, adding masks ... ... just endlessly pushing pixels around. Three days and fifteen drafts later

... proper inbox system so you never miss feedback or board invites. Oh, and we squeezed major performance gains across the platform pages load faster, boards sync smoother, everything just works better. The Journey Has Been Wild 1,855+ commits later, we've shipped AI feedback enhancements, revocable share links, PIN protection, an instant search that actually finds things, seeking in audio players, and honestly too many improvements to list. We fixed bugs, tightened security, and obsessed over every pixel ...

... second, I thought, "Okay, maybe we ll have to take the hard way today." I immediately started messaging people to vote, thinking this is going to be a tough grind. 2. The miracle (12:05 AM) Five minutes later - boom. We got featured! Turns out, PH takes a few minutes after launch to mark featured products. Tiny celebration but back to work. 3. The momentum (first 3 hours) Votes started rolling in. We crossed 100+ votes in under 3 hours ... ... whatever I could manage). 5. The LinkedIn warning Then, suddenly LinkedIn warning:" Your messages may go to spam. I had sent ~100 messages, and LinkedIn throttled me. Got disheartened again and took a break. Then came back an hour later

... build custom AI agents? What if they could configure the behavior, the instructions, the entire personality of their AI to work exactly the way they wanted? We called them "AI agents" without any idea this term would blow up later. We just liked how it sounded. It felt right - something that could think and behave just like they wanted. MindPal 2.0 launched in September 2023. It wasn't just a document chat tool. It was a platform where people could ... ... capacity. What if his expertise could run 24/7 without him? Single agents wouldn't cut it. These weren't simple tasks. They were sophisticated, multi-step business processes that needed multiple specialists working together. So we built AI Assembly (later