... juliayugo  Thanks, Julia! Looking forward to seeing how the feed learns Comment from Galymzhan Makashev(@vehsakam): Entertainment eating your professional recs or otherwise is so real. Cool product! Question about the personalized feeds: do I pick topics once, or can I tune

... organizing a curriculum that starts with programming fundamentals and progresses through APIs, databases, machine learning, LLMs, RAG, tool calling, LangChain, LangGraph, MCP, fine-tuning, n8n, and multi-agent systems. The platform is being designed around 3,200+ practice exercises, hundreds of practice projects, interview questions, and portfolio projects, with a path from beginner concepts to advanced topics

... biggest update is in-scene entity editing you can swap or edit specific characters and objects within a single scene without breaking the overall visual composition. You can also trim, add, or delete individual clips post-generation, and fine-tune Foley, swap multi-language TTS voices, and edit subtitles right on the timeline. 5-Minute Video-to-Video (V2V) You can now transform real videos up to 5 minutes long. To prevent timeouts and memory crashes, our engine automatically slices ... ... generations fast and affordable, we pair silent models with a custom audio engine. It automatically detects visual actions to generate synced Foley and sound effects, or syncs visual cuts to custom music tracks up to 2 minutes long. Smart Topic

... experimenting with AI-assisted content creation for a highly technical B2B industry. One issue I keep running into is accuracy. AI can generate a polished article very quickly, but when the topic involves manufacturing processes, tooling, tolerances, materials, or failure analysis, the output often sounds convincing while missing important technical details. My current workflow is: Collect notes from engineers and production teams Use AI to organize the information Turn it into articles, short videos, FAQs, and social posts Have someone ... ... others are solving this. If you work in a technical or niche B2B industry, how do you keep AI-generated content accurate without slowing the whole workflow down? Are you using RAG, an internal knowledge base, custom prompts, fine-tuning

... notes, a recording, a screenshot, a question, or a topic, and turn it into the format they need. Underneath that, the system is meant to learn from behavior: which explanations work, where difficulty should move, when a visual or interactive question would help, and what should be revisited next. We are also training the Metis model family from scratch specifically for Lernex rather than fine-tuning

... hardest part I'm solving right now: Low-latency native voice with proper echo cancellation, built in Rust on top of Tauri. Getting that audio engine feeling as snappy and reliable as Discord's took way more tuning than I expected. Screen share and video are still experimental being upfront about that since it's public beta, Windows-first for now. Would love feedback: https://www.producthunt.com/prod... Comment from Bobby(@0ldvwguy): Im building a website that's also mobile friendly ... ... them? The trial includes 60 hosted minutes: https://app.meetingclarity.app Comment from Sajid Javid(@sajid_javid): Love this format, Nolan, thanks for kicking it off. What I'm building: IntelliResearch, an all in one AI research assistant. You type a topic

... What's worked for us is making the source non-optional and comparable: the answer carries which governed definition it used, and we only escalate on a mismatch against the canonical one, not on every answer (or reviewers tune it out, exactly like you said). The uncomfortable part that maps to your thread: the human is the worst judge of blast radius, and the reviewer is the worst judge of grounding both for the same reason, they ... ... Claude Code for most of what I build, and these go through it. The drafts are mine though: my thinking, my call, and nothing goes out that I haven't read line by line. Which is on topic

... other services. Partnered with Bombora for high quality buying intent data and Prospeo / Hunters etc for B2B data. Agents generate the base line company profile and ICP along with Intent topics, users may edit / create new to fine tune

... which folder you buried it in. Auto-tagging and "show me everything about X" across a library that size is exactly the direction we are pushing. Quick question for you, when you go looking, is it usually by topic, or more "what was I thinking around that time", more like a date or a project? That changes a lot about how the retrieval should work. Comment from Maxence Legu ry(@maxence_leguery): @fatima_shehzad  "A living space, not a column ... ... trust it, and trust means it never sends or reschedules anything without you. So safe stuff runs on one click, anything touching other people or your calendar stops and asks first. And it is yours to tune

... Telegram for immediate notification and Discord to cross-communicate: I'm (or my users) creating records about ideas to implement or discuss, Claude read it, update to-to records, we discuss, then Claude write comments to necessary topics in human-readable language - so I have updated "diary" + live feed. Comment from Varun Raj(@varun_raj10): This is definitely a real problem. I use Cursor and Codex quite a bit, and the bigger issue for me isn t knowing when ... ... exactly what drains cognitive energy without you even realizing it. Intercepting the tool-use event before execution and routing it straight to mobile is a brilliant way to handle the round trip in just a few seconds. Staying tuned

... readers Comment from Stoyan Minchev(@stoyan_minchev): I don't. search for methods. As long as the content can genuinely make me better, smarter, does not really matter how it is created. Sometimes people use AI just to fine-tune the text, search for error, suggest better style. This does not mean that the thoughts written are of the AI itself. Some people have nice ideas and thoughts, but can't express themselves in English, should we really not learn ... ... messiness, it s definitely synthetic! Do you find yourself checking for warped hands and hair first, or have the models finally mastered the "five-finger" challenge in your feed? Comment from Abdul-Hafiz Aderemi(@hafiz_aderemi): This is a topic

... where i also started working on "Global Memory Architecture" for this and this is going to be very essential. Now let's say if any micro lab or a team of small developers built any model or fine tuned any model that outperforms these big models at any specific tasks, and if in future we allow these people hosting their models on our platform and if chats with their model are ranking on the feed or the model is ranking ... ... provide real value to users? Comment from MAHENDRA BENIWAL(@mahendra_beniwal): @joey_tribbiani6  yes Comment from MAHENDRA BENIWAL(@mahendra_beniwal): @blakeskrable  Exactly... and one more thing i would say that sometimes you don't get enough topics

... heavy users. The live product is at lucidextractor.liceron.in if you want to see it. Happy to do a quick call to walk through the architecture for your research! Comment from Chris Conlee(@conleec): This is a great research topic, Ryan. As a solo founder launching PictaBase today, I can tell you that for a "pro-sumer" tool, the stack isn't just about what's easy it's about what's provable and sustainable . I built PictaBase ... ... network first, which will make it easier to open doors to monetization later. 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

... indirect relationships between ideas. Node coloring: Automatically color-code nodes by tags. Hover for tooltips showing topics, customize colors in settings. Multi-select & bulk actions: Hold Cmd/Ctrl and click to select multiple nodes, then perform bulk operations like deletion. Graph presets: Save filter settings, color schemes, and layouts as named presets. Switch instantly between different views of your knowledge. Graph settings: Fine-tune

... started turning my personal habits into a checklist to build discipline and make these habits non-negotiable over time. Here s mine: 15 minutes of meditation Read at least 10 pages of a book Read one English article (any topic) Take notes on new vocabulary from that article Go for a run or work out Learn knitting Practice writing Python I can't do all of these every day although I really want. However my time budge has limits. Instead ... ... minutes to write a simple or complex problem I am trying to navigate, an affirmation to follow that problem, and a closing sentence to reflect on. After I finish, I let my body process the emotion so I can tune

... agencies, but freelancers who are also short of time and busy by doing real creative work they do not want to be halted by administrative tasks. Comment from Nika(@busmark_w_nika): @nikhilshahane  Just out of curiosity, which topics related to AI and digital agencies are interesting to you? :) I would like to contribute more in these terms. Comment from Nika(@busmark_w_nika): @stellify_software  Me not :D I do not have that ambition (and no idea ... ... created a no-code AI Lab so that anyone can train their own small, specialized AI models using their proprietary data, without needing any technical skills. We abstract everything, from GPU configuration to data processing, pipelines, and hyperparameter tuning

... organized by the French Embassy. It was really nice, even though it lasted only two week, and now I forgot a lot :) Comment from Tetiana(@tetianai): @busmark_w_nika  me too :D Comment from Tetiana(@tetianai): Great topic! Work goals: Make MultiDrive a top-3 solution in this field Build partnerships with other vendors Personal goals: Earn an Amazon certification Continue learning French and Polish Spend more time with my family and support them Comment from Mitja Martini(@mitja ... ... stubborn. Comment from Simon Gelfand(@webshark): I think my biggest goal is to be more active on social sites. More commenting, more posting ... get in to a good rhythm. Comment from Simon Gelfand(@webshark): @busmark_w_nika  stay tuned

... with AI, the greatest technology the world has ever seen, I predict the return of three pricing structures which are just so, inherently, human. And that, kinda, makes sense I've written a more in-depth Substack on the topic that I'll link to at the bottom, but here's the TL;DR to avoid you needing to switch platforms. A short summary of the thinking AI models are converging faster than we expected. For most users ... ... signals, and what it costs. In economic terms, some AI products may behave like Veblen goods where the price itself is part of the appeal. Second, fragmentation increases. Rather than one AI for everyone, we ll see many AIs tuned

... project brief for them. Fine-tuning might train them to be an expert in a certain field, but the brief still determines the quality of their work on any given day. Comment from Henrik Thorenfeldt(@henrik_thorenfeldt): cool topic

... create interactive presentations in minutes I ve always believed that great ideas deserve more than static slides. Most of us spend hours designing decks, only to end up with something our audience quickly tunes out With Oina, we re changing that. You type a topic

... high touch engineering-in-loop . Check out his latest tweets on X or recent podcast with Dwarkesh Patel where he touches on the topic. At Navam we are vibe coding several non-trivial white label products across multiple AI stacks, models, and frameworks running up 177K lines of working production-ready code and months of tuning

... Lately, I have been experimenting with how to feed context into GPT models more effectively. For example, when fine-tuning or working with larger context windows, I have noticed that the dilemma is in organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering. I am curious how others here approach it: How do you decide what information is essential vs noise when building AI workflows? Have you noticed ... ... response. I will actually try out Needle and share my feedback with you. Will I get enough AI credits/tokens for me to experiment? Comment from Coire(@coire): Hi Ashok, I've been in the weeds on the same topic

... Comment from Nika(@busmark_w_nika): @vladbalan  Congrats on a successful post, it seems that many of the comments are positive. That's rare for Reddit :D Comment from Nika(@busmark_w_nika): @rajan_batra3  Staying tuned :) Comment from Nika(@busmark_w_nika): @lattecino  Cool. I would like to see the results and your journey. Will you be sharing anything in these terms (case study)? :) Comment from Nika(@busmark_w_nika): @cam_mcmaster1  True ... ... from Nika(@busmark_w_nika): @dzaitzow  Reddit is the place where people go for advice, so people trust people there. But dunno how often people click on your profile and links. I think it is better for discussing topics

... content with more perspective." Comment from Niall Sullivan(@niall_sullivan): Layering different perspectives makes a lot of sense - in my world (podcasting) this works as a great way to hook people into an episode ( x vs x on a topic for example.) Comment from Linh Pham(@banglinhpham): The shift from a "Single Role" to "Multi-Role Collaboration" can apply so well to product development too. Shifting from the "builder's perspective" to the "first-time user's perspective" is essential ... ... enjoyed this, @zhiqi_shi Zhiqi, the way you framed perspective-shifting as moving from your story to our story really stuck with me. Too often content gets stuck in one angle (rant, tutorial, or personal log), and the audience tunes

... should apply their learnings in a specific way, there is certain to be bias for hiring, L&D, retentions, and so on. When we look at how UnitedHealthcare for example applies AI, we saw that it was basically tuned to either increase the rate of claims denied or an increase scrutiny of claims. The same can easily be done for hiring a specific persona. The key thing here is intention. I can't trust the AI models of today ... ... best decision. I can always talk to a human to get at their intentions, I can't see the weights, biases, or logic of AI models I'm using as easily. Comment from Adi Singh(@adi_singh5): Fascinating topic