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Lytmus
Interview tracking + AI coach for software engineers
Most job trackers stop at applied → interviewing → offer. Lytmus goes deeper: log every round, every question asked, your approach, and a confidence score (1–5). Then it surfaces patterns — which topics tank your loops, where confidence and outcomes diverge, which companies grind you down. An AI coach reads your real interview history (not generic advice) and drills the exact gaps. Built by an engineer mid-search. Free up to 10 applications.
About Lytmus on Product Hunt
“Interview tracking + AI coach for software engineers”
Lytmus was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #114 on the daily leaderboard. Most job trackers stop at applied → interviewing → offer. Lytmus goes deeper: log every round, every question asked, your approach, and a confidence score (1–5). Then it surfaces patterns — which topics tank your loops, where confidence and outcomes diverge, which companies grind you down. An AI coach reads your real interview history (not generic advice) and drills the exact gaps. Built by an engineer mid-search. Free up to 10 applications.
On the analytics side, Lytmus competes within Hiring, Tech and Career — topics that collectively have 642.9k followers on Product Hunt. The dashboard above tracks how Lytmus performed against the three products that launched closest to it on the same day.
Who hunted Lytmus?
Lytmus was hunted by Anuj Menta. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lytmus including community comment highlights and product details, visit the product overview.
Hey Product Hunt — Anuj here, maker of Lytmus.
I built this during my own job search, out of frustration with every other tracker I tried.
Here's what kept happening: I'd finish a tough onsite, the questions still fresh — and then dump everything into a Notion doc I'd never reopen. My Huntr board told me what stage I was at, but nothing about what was actually going wrong inside the interviews. Three searches in, I started noticing patterns hiding in my own history that no tool could surface: I lose system design more often when the loop has 4+ rounds. My "confidence 2" answers correlate with "no offer" way more than I'd like to admit. There were lessons buried in my own data, and no tool to extract them.
So I built Lytmus.
What it does
- Kanban board for applications (the table-stakes part)
- Per-round capture: kind (DSA / system design / behavioral / take-home / …),
interviewers, outcome, schedule
- Per-question capture: prompt, approach, solution (CodeMirror for code, Tiptap for
prose), confidence 1–5, difficulty, tags, links
- Notes & attachments scoped to application / round / question, typed by source
(recruiter info, prep, self-reflection, peer tip, interviewer feedback)
- Metrics that mean something: application funnel, tag performance,
confidence-vs-outcome, activity heatmap
- AI coach (Claude-powered) that reads your actual data — your weak tags, low-confidence
questions, past reflections — and drills the real gaps. Not generic LeetCode prompts.
- MCP support if you'd rather log interview rounds, questions using your favorite LLM or pull Lytmus into your own AI workflow
The bet: capture enough structured signal and patterns emerge — and that same data makes an AI coach that actually knows you, not generic LeetCode prompts.