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segunda-feira, 12 de janeiro de 2026

Show HN: `tc` like `wc` but for LLM tokens https://ift.tt/OfDURvi

Show HN: `tc` like `wc` but for LLM tokens Little tool that I made to understand how (un)reasonable my prompts are. https://ift.tt/s9oFqE6 January 12, 2026 at 12:15AM

Show HN: Voice Composer – Browser-based pitch detection to MIDI/strudel/tidal https://ift.tt/3dmj9We

Show HN: Voice Composer – Browser-based pitch detection to MIDI/strudel/tidal Built this over the weekend to bridge the gap between "can hum a melody" and "can code algorithmic music patterns" (Strudel/TidalCycles) for live coding and live dj'ing. What it does: Real-time pitch detection in browser using multiple algorithms: CREPE (deep learning model via TensorFlow.js) YIN (autocorrelation-based fundamental frequency estimation) FFT with harmonic product spectrum AMDF (average magnitude difference function) Outputs: visual piano roll, MIDI files, Strudel/TidalCycles code All client-side, nothing leaves your machine Why multiple algorithms: Different pitch detection approaches work better for different inputs. CREPE is most accurate but computationally expensive; YIN is fast and works well for clean monophonic input; FFT/HPS handles harmonic-rich sounds; AMDF is lightweight. Let users switch based on their use case. Technical details: React, runs entirely in browser via Web Audio API Canvas-based visualization with real-time waveform rendering The original problem: I wanted to learn live coding but had zero music theory. This makes it trivial to capture melodic ideas and immediately use them in pattern-based music systems. Try it: https://dioptre.github.io/tidal/ Works best on desktop. Will work more like a Digital Audio Workbench (DAW). Source: https://ift.tt/feutRZ7 https://dioptre.github.io/tidal/ January 11, 2026 at 08:06PM

domingo, 11 de janeiro de 2026

sábado, 10 de janeiro de 2026

sexta-feira, 9 de janeiro de 2026

Show HN: Commit-based code review instead of PR-based https://ift.tt/urziSPH

Show HN: Commit-based code review instead of PR-based Hi HN, I’m experimenting with commit-based code review as an alternative to PR-based review. Instead of analyzing large PR diffs, this reviews each commit incrementally, while context is still fresh. It’s fully configurable and intentionally low-noise, high signal - focused on catching issues that tend to slip through and compound over time. The goal isn’t to replace CI or PR review, but to move some feedback earlier: risky changes hidden in small diffs architectural or consistency drift performance or security footguns Happy to answer questions https://commitguard.ai January 9, 2026 at 03:03AM

Show HN: Layoffstoday – Open database tracking for 10k Companies https://ift.tt/6YG4uxV

Show HN: Layoffstoday – Open database tracking for 10k Companies Hi HN, I built Layoffstoday, an open platform that tracks tech layoffs across ~6,500 companies. What it does: Aggregates layoff events from public news sources Normalizes data by company, date, industry, and affected headcount Shows historical patterns instead of isolated headlines Why I built it: During job transitions, I noticed people had to jump across news articles, spreadsheets, and social posts just to answer simple questions like “Has this company laid people off before?” or “Is this happening across the industry?” This is an attempt to make that information structured, searchable, and accessible. Would love feedback on: Data accuracy / gaps Signals that would actually help job seekers Whether alerts or trend indicators are useful or noisy https://ift.tt/f8gJ01A January 9, 2026 at 12:39AM

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