@brankopetric00 · X

I've got two 😀: - automate your X presence - helps you break into DevOps

u/Low-Development-2571 · Reddit

I am getting laid off, so I built a free AI interview coach that scores how you speak. I need your brutal feedback I've spent 9 years breaking things and have worked as a QA Analyst, QA Engineer, and Software Development Engineer in Test. Just found out I'm being let go. Instead of browsing job boards, I built something I needed for my interviews. I tried many prep tools, and they all check your answers. But almost none look at how you deliver them, the rambling, filler words, or answers th

@pashov_n · X

Anki style flashcards with a AI judging how well you understand a specific topic -

@intervue_xyz · X

@ricokristo · X

@johncalvo · X

Built an entire YouTube research platform with @AnthropicAI Claude Code. a YouTube research tool that treats entire channels as a searchable transcript database rather than individual videos. Any YouTube channel. Every word. Fully searchable. Track how topics trend, peak, and evolve across hundreds of videos. Researching what someone said on YouTube means watching hours of footage and hoping you find it. ChannelScout extracts full transcripts from any channel, makes every word instantly searchable, and tracks how topics trend over time, without watching a single video manually. Paste a YouTube channel or playlist URL and it transcribes and indexes every transcript. Follow multiple channels and they all land in one private library. New videos on followed channels are auto-transcribed and added to your library the day they publish. Beyond YouTube it accepts any yt-dlp-supported URL including Vimeo, TED, and SoundCloud, and you can upload local files directly

@devshowcse · X

Here is it -

@anujmenta · X

Building — interview tracker + AI coach for SWE job seekers. Know exactly where you’re losing offers.

u/Rcoo232 · Reddit

I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi

@Galliard232634 · X

Come study with me on

@asphramin · X

Search a company. Read what work there actually felt like. Add the part people usually leave out.

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree