... 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 videos into editable chunks, maintains temporal consistency across cuts, and stitches them back together. You can even inject your own generated AI characters into real-world footage. Cost-Effective Auto-Foley & Music Mode Top-tier video models with native audio are expensive. To keep ... ... able to hook RedBoy's backend directly into your favorite LLMs to build storyboards, trigger animations, and make editor tweaks through natural conversation similar to OpenArt's flow. Building the orchestration behind granular entity swapping and long-form V2V chunking

... real numbers instead of manual entry. This feature seems to have the most apparent upside and just nice to have either way, but you can never be too sure if it will actually provide value. Models retainage (the payment chunk jobs hold back until work's fully done) using your own job history. I don't know how much this actually messes with people's day-to-day cash flow. Another feature I wanted to add was a benchmark system ...

... years in client software delivery, with WordPress running through a good chunk of it, not a WordPress specialist by title, a COO who's shipped it alongside everything else at Genetech. A few things that keep proving true no matter how the platform evolves: 1. Updates are the whole game, not a chore. We recently cleaned up a client site that had been hacked twice. It had been deployed in Jan 2026 and had fallen several updates behind. After ...

... everyone I am a SWE who love to tinker with hardware (I destroy half the things I touch, that's a separate topic). I've been browsing Product Hunt recently, and one thing I noticed is that a huge chunk of the products I come across are AI related. Don't get me wrong. AI is cool, and there s obviously a ton of interesting engineering happening around it. But personally, I d love to see more real engineering here ...

... kept forgetting DSA patterns between interview cycles, but opening a laptop for a full coding session was too much friction. I built AlgoBite as a smaller review loop: reconstruct a real Python solution from scrambled chunks, run browser tests, then let spaced repetition bring it back before you forget it. It is designed for a five-minute phone session, not to replace solving from scratch. You can try Valid Parentheses without an account: https://algobite.app/try?problem... The honest baseline ...

... Curious if other founders/makers here are seeing this: a chunk of my own search behavior has quietly moved from typing something into Google to just asking ChatGPT or Perplexity directly, and getting an answer with no click to any website. For anyone building a product with organic/SEO as a growth channel, has this shown up in your numbers yet? Or is it too early to tell? Not trying to sell anything, genuinely curious how other builders here are thinking about ...

... alone feels bigger than the actual work. Curious if anyone else who juggles more than one business or product has found a way to shrink that switching cost, or if you've just made peace with losing a chunk of every ...

... been programming for more years than I care to remember. I love it. There's nothing I'd rather be doing than solving a complex problem or refactoring a large chunk of code. To the point where I was more interested in what was going on behind the scenes than the product itself. Now, with the dawning of these new super-capable AI models, we have much less time to work on the fine details of the codebase ...

... Secure/SCA verification challenge. Telling someone to "update your card" when their bank just needs them to confirm the charge is not only useless, it makes the whole thing read as impersonal and a bit spammy. Industry-wide, a meaningful chunk of subscription churn is just failed payments that never get recovered, and a lot of that is these avoidable mismatches. So I built Revova ( https://revova.io ). It detects failed charges across Stripe (native), plus Paddle, Braintree, Chargebee, and Recurly ...

... Prompt Optimization was one of the first features we shipped in AI Context Flow. We've grown a lot since then, evolving into a universal memory hub, but a big chunk of our userbase originally came for prompt optimization, and still loves it as a core part of their workflow. The feedback we kept hearing was consistent: " I like the fast, one-click optimization, but sometimes I need more control. " More control over how the prompt gets optimized. More control ...

... guys fighting back? Are you fixing this at the infra level, playing around with prompts, or just relying on a human-in-the-loop to double-check everything? For example, are you using: Advanced RAG: Better chunking, hybrid search, or re-ranking? Self-Correction: Making the LLM verify its own sources against a strict schema? UI Guardrails: Forcing the system to visually highlight exactly where the answer came from? Drop your tech stack, your worst horror stories, or your current ... ... small negative word like not or unless. Summaries can hide the mistake, but extraction/Q&A makes it much easier to spot when the model stretched the evidence too far. I ll take a look at Ethos the supported vs

... perform a sequence that felt like a coordinated attack. Connected over Ngrok, it bypassed my safeguards: it rapidly overwrote both of my auto-restore points back-to-back, then executed a massive, destructive replace block that erased a huge chunk of unrecoverable CSS. On a good day, I view this as a harsh lesson on a system shortfall. On a bad day, it s malicious gatekeeping right at the finish line. It penetrated three layers of defense to force ...

... those features that sounds simple but saves a ton of time once you've got hundreds of saved videos sitting there unwatched. Curious how it holds up on longer form stuff like 1-2hr podcasts versus a short clip. Comment from Nolan Vu(@nolan_vu): @nidhisachan  I am glad to share and support your business case. Hope that your product can upgrade and develop further later on. I will continue sharing new stories so that businesses like your ... ... right audience. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... Cursor: coding Supabase: backend and auth Vercel: hosting GitHub: version control Google Search Console: SEO Campix: my own project, camp software, yes I'm biased Comment from Hans Desjarlais(@ismaelyws): Gmail Calendly Claude Code Google Docs & Sheets VS Code Comment from Bill Davis(@billspaced): @nolan_vu  Slack, not because I love it but because everything dies without it. YESSSSSSSSSSSSS Comment from Bill Davis(@billspaced): @riya_pariyar   @benfleming   @asapx  same question... never heard ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... them. A couple of the things we found were genuinely embarrassing. First, react-scan. It's the dev profiler that draws colored borders around components when they re-render. 484 KB of it was sitting in our root chunk, shipping to every customer on every page load. We had it behind a feature flag, but the flag only controlled whether it ran, not whether it loaded. Two deleted files later, gone. Second: gpt-tokenizer, 2.3 MB of token tables ... ... pulled in because the token-counting helper lived in a shared file next to some type definitions, so the bundler couldn't tell only the server needed it. We moved the helper into a .server.ts file. That chunk

... Something I built led to a design decision I want to get feedback on. LineageLens is a free VS Code extension that captures every AI code insertion and scores it for risk on a 0 100 scale. Works with Cursor, Copilot, ClaudeCode, Gemini CLI. Zero config on install just start using your AI tools and your insertions start showing up in the sidebar. The scoring is deterministic rules: +28 for credential-like material, +24 for eval/exec patterns, +22 for subprocess ... ... This solves a problem I didn't realize I had until I read this. We've been using AI-generated code in production for months and honestly have no clear picture of which parts were written by AI vs

... word listener. It was using Google Speech Recognition. Worked fine, but broke the "nothing leaves your machine" promise. Replaced it with openWakeWord - an open source, on device wake word library. Runs a tiny ONNX model locally, processes 80ms audio chunks through sounddevice, fires a callback when confidence crosses a threshold. Zero network calls. The tradeoff: no pretrained "computer" model exists yet, so the default is "hey Jarvis". You can train a custom keyword using their pipeline if you want something ...

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... Last week, two search engines took very different positions on Generative Engine Optimization. Google (May 15, 2026): GEO is "still SEO." No chunking. No llms.txt. No paid mentions. No special schema. Bing (Fabrice Canel, April 2025): "Traditional SEO practices become obsolete." Bing added GEO to its official guidelines and built a dashboard inside Webmaster Tools to track Copilot citations. At first glance, they seem to contradict each other. They are not. What Google is saying Google is talking about tactics ... ... hacks" sold by agencies do not move AI Overviews. Why? Because AI Overviews lean on the same ranking signals as classic search. Content quality, relevance, authority, trust. The fundamentals have not changed. The quick fixes do not work. Chunking

... necessarily mean that you have been a good person in marketing your product. For https://bitgrain.app I got a huge influx of audience, but that was very wrongly justified as a AI first tool. So even though a huge chunk of people came to use my product, they were disappointed that it was not an AI first tool. This caused the SEO to even hamper I guess. So even after getting a huge reach, it did not bring in much ... ... promise cleanup. If people arrived expecting AI design generator and bounced, the issue may not just be SEO keywords it may be that the first screen needs to say what Bitgrain replaces instead: lightweight design studio, poster/graphic creation, Canva/Figma alternative

... Lily, a UX designer and a founding member of a startup. I have a confession: I spent a huge chunk of my career designing incredibly beautiful, pixel-perfect screens... for products that absolutely zero people wanted to buy. I finally snapped. I realized that a smooth micro-interaction can't save a product with zero market demand. Now, I m entirely obsessed with data-driven validation. I refuse to even open a design tool until the business logic has been ...

... revenue. And then I ran into this: Apple takes up to 30% from in-app purchases. If you re in the Small Business Program it s 15%, which is better, but still you build everything, get users, and a chunk just goes. So I started looking into Stripe and other options. But if you re selling digital features inside the app, Apple basically requires you to use their system. Stripe works great, just not really for this exact use case ...

... Chunk v2  is finally out after months of work and I wanted to share it here since this community gave me some really useful feedback on v1. It s a menubar time-blocking app for  macOS . The core idea is simple, plan your day in focused chunks

... without losing control You can choose to send invoices automatically or just record them. You can also update pricing or adjust schedules anytime. Built for busy workflows If you re handling dozens of invoices daily, this removes a huge chunk of repetitive work, so you can focus on actually growing the business. One takeaway I ve learned working with businesses: If a task repeats itself, it should probably be automated. Recurring invoices are one of the easiest wins ...

... standard use cases. Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare. Lately, I've been experimenting with a dead-simple alternative