@ekstraktapp · X

@papaemman_pan · X

You just found it! YouTube’s “bell” notifications are awful, so I created an app to get notifications (with an AI summary) for new uploads from my favorite creators. It works with email, WhatsApp, Discord, Telegram, Slack or SMS.

@josephnordqvist · X

@RabbitHoleBrief · X

turn any link or document into a two person podcast. Choose from a list of topics or create your own topics to curate your own show on your own schedule.

@rishadmohemed · X

If you're looking for an AI tool to turn long videos into viral Shorts, give Clipshq a try. Built for creators who publish globally with accurate multilingual captions and AI-powered clipping. 🌍 Happy to offer a special discount - just send me a DM.

u/holios89 · Reddit

Built an AI SaaS that turns your notes/articles/PDFs into study flashcards — looking for harsh feedback (and bugs) Hey folks, Solo/small side project here: Deckly ( deckly.one ) — an AI-powered flashcard generator for spaced-repetition learning (Anki-compatible export). You give it text, a PDF, or an article link, it generates a deck of flashcards (Q&A, Cloze, or multiple choice), optionally with TTS audio and images per card, and you can study it right in the browser or export to `.apkg`.

u/Aromatic-Low-4578 · Reddit

My side project is a text RPG with no graphics, so I built a tool to help me market it. I have a side project that's a text-based, LLM-powered RPG. It's entirely text, with no graphics at all. It turned out to be a real problem the moment I tried to make any video content to promote it. It's surprisingly hard to put together a compelling clip when all you have is words on a screen. So I ended up building a second thing to solve the first thing: https://motiontext.video . It

@thepaulwakim · X

I've been building the companion creator platform for my podcast app @PodSipsApp . I built the creators platform for 2 reasons: 1. To help podcasters gather all of a show's data in one place. RSS downloads come through an RSS prefix server I built and all your stats from YouTube and Spotify. 2. To give that aggregate data to AI agents, whether that is Codex, Claude Code, Hermes, OpenClaw, or whatever else you use. The agent Skill file and API, and API docs on the platform work together to give your agent access to all your show's data in one place. It can answer questions about how the show is doing, build custom data visualizations, work those visualizations into a sponsorship deck, or do anything else you want done with your data. The API also surfaces anonymized summaries of what listeners are asking PodSips about while they listen to your episodes. You get to see which moments people wanted explained and which topics they wanted more of. Podcasters can sign

mistakevin · HN

I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.

chrismessina · Product Hunt

PodcastorAI Your AI twin hosts your video podcast

u/UnderstandingBusy758 · Reddit

I hoard YouTube "Watch Later" videos I never watch (OneTab). So I built a bouncer that reads the transcript and tells me if it's worth my time. My Watch Later list hit a few hundred videos. Every one of them felt "worth it someday," so the pile only grew — the same way browser tabs piled up before OneTab. So I built WatchBouncer. Paste YouTube links — one, or your whole Watch Later — and an AI reads the actual transcript (not the thumbnail, not the hype). Each video gets: a quality scor

pw · HN

Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running