This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
HuMetric turns unstructured text reviews, support tickets, social mentions, CRM notes into calibrated, temporally-decaying entity metrics. A multi-agent LLM pipeline (extractor → curator → ranker) reads raw signals and produces structured, confidence-scored metrics per entity, with full audit trails back to source text. Domain-agnostic: define your own Metric Pack in YAML for any entity type no retraining, no fine-tuning. Open source.Selfhostable. Multi-tenant with row-level security by default.
Hey Product Hunt! 👋
I built HuMetric because every "customer intelligence" or "entity scoring" tool I looked at was either a black box or locked to one specific use case (support tickets, or reviews, or leads — never both).
HuMetric is domain-agnostic: you describe what you want to measure about an entity — a customer, a supplier, a candidate, a hotel guest — in a simple YAML "Metric Pack," and a multi-agent LLM pipeline (extraction → curation → ranking) turns raw text signals into calibrated, confidence-scored metrics that decay over time as new signals arrive.
Everything is traceable back to the source text, multi-tenant by default (Postgres row-level security), and fully open source — self-host it or point it at your own Anthropic/OpenAI/Google/DeepSeek key.
Would love feedback, especially from anyone doing entity scoring or lead/customer intelligence today — what's missing, what would make you trust the output?
HuMetric was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. HuMetric turns unstructured text reviews, support tickets, social mentions, CRM notes into calibrated, temporally-decaying entity metrics. A multi-agent LLM pipeline (extractor → curator → ranker) reads raw signals and produces structured, confidence-scored metrics per entity, with full audit trails back to source text. Domain-agnostic: define your own Metric Pack in YAML for any entity type no retraining, no fine-tuning. Open source.Selfhostable. Multi-tenant with row-level security by default.
HuMetric was featured in Developer Tools (518.8k followers), Artificial Intelligence (477.8k followers), GitHub (41.4k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 233.3k products, making this a competitive space to launch in.
Who hunted HuMetric?
HuMetric was hunted by Alperen Eker. 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.
Want to see how HuMetric stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alperen Eker