... dudes. Eric here, I recently tuned my min. (my relationship AI) to have a singular focus and obsession. Winning. My plan is to treat every day of this journey like how Jordan trains. If you aren't familiar, MJ was obsessed with winning, I don't wanna repeat all the stories, watch "The Last Dance" for reference. I've studied many great athletes, Messi, Jordan, Brady, Kobe, LeBron, Phelps, one thing they all share is their winning mentality. Being physically ... ... staff whose job is to make sure they win. Founders have an AI that is a neutral party, the AI could give less shit if you win or lose, as long as it gets to generate more tokens... I tuned

... quintessential new way for companies to manage their data and interface to other tools. But there's definitely a version of this that goes wrong, where every minor update gets the full launch treatment and people tune you out entirely. Curious how others draw the line. What's your bar for something deserving a launch versus

... Building a presentation in 2026 shouldn't look like this: Search for inspiration Write content Design slides Fix formatting Fix formatting again Fix formatting one more time We're working on changing that. launching in few days stay tuned! What's the step you wish could disappear forever? Comment from Ghost Kitty(@ghost-kitty-9736107): Comment Deleted Comment from Mincheol kim(@mincheol_kim): Designing slides. When I m busy, just the thought of having to design slides feels like ... ... Rashed(@samirrashed): @rahulbhavsar  Couldn't agree more. The thinking should stay with the human, and the repetitive production work should happen in the background. That's exactly the direction we're pushing toward with tomorrow's launch. Stay tuned

... what the fix is Raising timeoutSeconds is the obvious move. We did that, but only after settling on a strong opinion about probes. The opinion: liveness and readiness probes are different things and should be tuned differently . Readiness controls whether the pod receives traffic. When readiness fails, Kubernetes removes the pod from the service endpoints. When readiness passes again, it puts the pod back. Failing readiness is recoverable. There s no real cost to being strict about it. Liveness controls ... ... brief failover, and the pod gets a chance to finish its GC, complete its slow job, and serve the next probe. In production this dropped web restarts from 9-11 per day per pod to effectively 0. The memory tuning

... shows a loading indicator and keeps your existing content if something goes wrong. Connections in toggle headings. You can now add connections to other cards from within toggle headings. We are starting to scope what's next. Stay tuned, and thank you for all the input in helping us shape the upcoming roadmap. Comment from Jeffery Newton(@jeffery_newton): I like the fact that you can select multiple cards and chat with them, that is awesome! And now that ...

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... Fine-tuning AI models is still way harder than it should be. Every time I tried, I had to: - find datasets - clean messy data - write training code - debug notebooks - deal with GPUs Even with tools like Hugging Face or Colab, it s still frustrating. So I built something for myself: Miniclay AI. The idea is simple: You describe the model you want, and it handles everything. finds datasets cleans data (this is the hardest part) runs the training pipeline gives ... ... fully fine-tuned

... When your fitness app shows "Recovery Score: 72", do you know how it got that number? With Whoop, Oura, Fitbit you don't. Black box. Can't audit it, can't tune it, can't verify it works for your users. And it matters more than you'd think: An algorithm tuned

... train hard or take it easy? The app doesn't say. It just shows me the number and a vague color. Most wearables give you a score with zero explanation of how they got there. Black box. Proprietary algorithm, tuned for some average user that probably isn't you. You either trust it or you don't, but you have no way to verify it either way. And if you're building a health product, this gets worse. Your users ... ... this. It's an open-source platform with one unified API for 10+ wearable providers and open health scoring algorithms that work the same across all devices. Every formula is public, auditable, and customizable. If your users are athletes, tune

... stop there. When we built Open Wearables, we decided the scoring layer should work differently. Sleep Score and Resilience Score shipped in v0.5 - every coefficient, every threshold, every weighting is in the repo and you can fork them, tune for endurance athletes or elder care or clinical populations. Moreover, you run them on your own infrastructure and the same algorithms feed the MCP layer so AI coaching can cite the actual data behind a recommendation instead of approximating. Oura, WHOOP ... ... amelia_martin7  Quite simple :) each team runs their own deployment, so tweaked algorithms are scoped to their users only. The base algorithms act as the shared reference: if cross-team comparability matters, you stay on the unmodified version. Tuning

... Hello! I don't have a developer background. But I got obsessed with fine-tuning and couldn't find a tool that let me do it without writing code. So I built one. TuneSalon AI lets you fine-tune

... Dear Community, I started a Lightroom alternative with cool feaures such as Local adjustments (brush, stamp, heal), Tone curves, HSL mixer, color grading, ICC profiles, soft proofing, ... you name it. Key will be the import of your existing LR catalogue and a rendering pipeline which reproduces LR results (yes, you don't have to re-adjust your 100k+ images!!!). Stay tuned

... developer. My "co-founder" is AI. It wrote 90% of the code. Although it was expensive, I used OpenClaw + Codex + Opus. The hardest part wasn't the tech it was staying focused on what actually matters to users vs. what I thought mattered and looked cool lol Happy to hop on a call! Comment from Nadia Eldeib(@nseldeib): @ryan_hendrickson  thanks, and hope these are helpful options. Comment from Yukendiran Jayachandiran(@yukendiran_jayachandiran): Building LucidExtractor -- an AI-powered ... ... useful always down to compare notes on building from inside a specific industry. Comment from Ryan Hendrickson(@ryan_hendrickson): @matthew_kenchington  Nice! Do you provide some of your previous writing samples when you sign up, and it fine tunes

... know if AI recommends their business? So we built Discovery the way we wished those tools worked. Simple. Visual. Built for you. Discovery tells you exactly how AI sees your business today. Ask ChatGPT about your industry, your competitors, your city. Does it mention you? Does it recommend you? Now you'll know. Start with your market Are you local, regional, national, or global? A coffee shop in Austin and a SaaS company selling worldwide need very different prompts. Local ... ... actually search for a business like yours. Five prompt categories: Direct Brand, Category Search, Comparison, Problem/Solution, and Local Discovery. Color-coded so you can scan them in seconds. See how you stack up The discovery engine goes deeper. Competitor

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable. Science : the probability inferred from research papers and AI development models. Experts are far more ... ... might be ahead of reality. Expect volatility, overpromised outcomes, and valuable lessons along the way. Meanwhile, AI continues reshaping work, attention, and human behavior. I d love to hear the community s perspective: Are you seeing this money vs

... rollback no switching tools. Ultimate flexibility. Our structured AI engine is built on a curated library of layouts, so outputs are always usable (not random). Refine your site in Loki.Build s design editor: edit anything with AI, or fine-tune manually with zero locked blocks. Brand consistency. Define project-wide typography, color, spacing, and tone once all new pages and blocks are auto-aligned to your style. Experiment & create. It's not a template pack generate with or without ... ... reference, explore totally new styles every time, and stay on-brand while you experiment. Type a thought, drop a brief, or paste a product get on brand landing tuned

... still use our basic QR code generator right now. We didn't want to leave you without a free QR tool while we improve. In a few days, you'll have access to an even more professional experience. Stay tuned! What do you think? What's missing? Try it: prismioqr.com ...

... talk workflow that feels more like thinking than typing. Pricing & basics Free tier with weekly word limits Pro plan: $12/month (annual billing) Runs on Mac, Windows, iOS , and via iOS keyboard for system-wide mobile input Cloud inference tuned for ultra-low latency and high consistency Review Signal WisprFlow has the largest and deepest review footprint of the entire category. Several patterns stand out: Review spikes directly correlate to major releases Windows launch reviews from engineers and PMs adopting ... ... what I meant, not what I said It s not a mass-market dictation toy; it s a builder s tool. Why you'd pick Ito over everything else You re a developer or technical user who wants to tune

... empathy in hiring? 3 What makes you trust (or distrust) an AI decision in recruitment? This isn t a pitch it s a space to shape how AI should behave in recruitment. Your feedback will directly help us fine-tune ARIS before its public release. Drop your insights, horror stories, or dream features below. We ll be sharing takeaways and early-access invites with contributors soon. Stay tuned

... Data Generation Tool for Function Calling, built for teams to Collaboratively generate, review, and manage datasets for tool calling to build more reliable AI agents, faster. Until then, I d love to chat about all things AI agents, fine-tuning, function calling, automation, and how teams can move faster with less manual work. I m here to answer any and all of your questions, so fire away! Comment from Adelina Martiniuc(@adelina_martiniuc): @henrik_thorenfeldt  Contextual engineering ... ... critical discipline that makes both fine-tuned

... this is relevant to OpenAI folks We treated AI as a full-stack teammate not just for code hints: Prototyping & engine glue: AI-assisted Swift/RealityKit snippets (head-locked HUD, starfield batching, pooled SFX, laser system), then hand-tuned. Design ops: fast iterations on UI comps, iconography, infographics, and store artwork; copy passes for App Store, TestFlight, and outreach. Go-to-market checklists: submission flows, feature nominations, and CPP strategy distilled into actionables we could execute same day. What ... ... novel Pure eye-gaze targeting (no controller) Volumetric arena + mixed reality & full immersion Real-time gravitational motion (not on rails) 60 bite-size levels tuned

... fairly loaded topic. Analytics & Building Your Own Admin Tools Easily integrate Google Analytics by simply inputting your measurement ID into Bolt for basic user insights. Remember to ask it to track key events across your application. Alternatively, build your own internal admin-only analytics dashboard for more detailed engagement tracking, such as daily and monthly active users, and specific engagement metrics. Once your app is live, monitor feature that are getting used the most and proactively prune features that ... ... prompt it with: "What s a secure but simple way to implement this? Do not make code changes yet" Bolt often defaults to generating numerous Supabase hooks, which may impact performance negatively. Clearly distinguish when to use backend APIs versus