TriageIQ
LiveReads a new GitHub issue and tells you which component it belongs to, which already-solved issues look like it, and roughly how long it will take to close.
- TF-IDF
- BGE + FAISS
- LightGBM
- Groq
15 projects · 9 live today
Everything I've built and shipped, daily-use products and research tools alike. Each one has a case study: the problem, how I built it, and the honest numbers, including the ones that didn't flatter me.
Showing 15 of 15 projects
Reads a new GitHub issue and tells you which component it belongs to, which already-solved issues look like it, and roughly how long it will take to close.
A word game you play once a day, where your only clue is how close each guess comes in meaning to the secret word.
Recommends clothing from a photo of an outfit or a sentence describing one, and finds the same things either way.
3.06× (0.0328)Recall@10 lift vs. popularity baseline
An AI shopping assistant for Indian weddings that searches eight store catalogues at once and will not invent a price or a size to make the sale.
Forecasts retail demand a week out across all 30,490 Walmart product and store lines, so a buyer knows what to order.
Turns a prompt or a photo into a Japanese woodblock print, on a LoRA I fine-tuned to hold that style.
6.2GB peak VRAMFull SDXL + LoRA pipeline, 8GB consumer-GPU budget
Answers whether rewriting an AI agent's tool descriptions actually made it better at its job, with an A/B harness for MCP servers. The research behind my tool-description paper.
pip install agentgauge-harnessv0.5.3 · 5 releases≈51 downloads/week (pypistats, excl. mirrors) Sum of the 7 most recently completed calendar days pypistats.org reports with known PyPI mirrors excluded, UTC, today's partial day not counted.-13.3ppBLOCKING description defect, task-success effect (qwen2.5:7b)
Cleans up disk space on Windows and shows you exactly what it will remove before it removes anything, so a safe cleanup stays safe.
~48GB → 23.09GB → 4.26GB → 3.92GB, never corrected upwardExact-duplicate reclaimable estimate, corrected as real safety bugs were found
Turns a pile of customer reviews in English and Hinglish into what people actually keep saying.
A PWA that tracks India's 22K gold rate and ships an honest naive flat-hold range, not a forecast, because the ML model I trained never beat that baseline.
Naive wins: ships the honest baseline, not the modelNaive baseline vs. ML model (209-fold backtest)
Describe a trip in a sentence and get two genuinely different itineraries, put together by a team of agents, instead of a page of near-identical flights.
Scores a Claude Code session on how efficient it was, and shows you where the tokens went to waste.
pip install tracegaugev0.15.0 · 21 releases≈195 downloads/week (pypistats, excl. mirrors) Sum of the 7 most recently completed calendar days pypistats.org reports with known PyPI mirrors excluded, UTC, today's partial day not counted.Fails your build when an agent starts costing more per run, and tells you, every run, the smallest rise it could actually have caught.
pip install adk-tracegaugev0.10.1 · 21 releases≈187 downloads/week (pypistats, excl. mirrors) Sum of the 7 most recently completed calendar days pypistats.org reports with known PyPI mirrors excluded, UTC, today's partial day not counted.Type what you spent the way you would say it out loud. It files the expense, categorizes it, and predicts where your spending is heading.
143/143 passingTest suite
A held-out benchmark for a class of silent-verdict-degradation bugs, plus 3 detection baselines (AST, local LLM consensus, frontier judge) that all failed a pre-registered viability gate.