Rereflect
Hey HN! I'm the maker of Rereflect. I built this after watching teams (including my own) drown in scattered customer feedback across emails, Slack, support tickets, and surveys. Valuable insights kept getting lost. What it does: • Analyzes sentiment automatically • Categorizes pain points (bugs, UX issues, pricing concerns, etc.) • Extracts feature requests • Flags churn risk • All from one dashboard Tech stack: FastAPI + PostgreSQL backend, Next.js frontend, custom AI analysis engine. Free plan: 250 feedback items/month. Just upload a CSV to get started. I'd love feedback from the HN…
Rereflect launched on July 28, 2026 with 3 votes, #8,766 of 24,623 launches that month and more than 50% of that year's launches.
What it does
Rereflect turns customer feedback into sentiment, pain points, feature requests and churn risk. 100% open source (MIT), self-hosted, zero telemetry. Bring your own LLM key, or run the free local pipeline with no API key and no cost. Nothing is locked.
Self-hosted, MIT-licensed AI feedback analysis. Sentiment, pain points, feature requests, churn prediction, and integrations — fully unlocked, no vendor lock-in. Bring your own LLM key or run free on VADER.
Rereflect reads every review, ticket and chat you receive and returns structured signal: sentiment, pain points, ranked feature requests and churn risk. Self-hosted, MIT licensed, every feature unlocked. “The new billing page is confusing — I was charged twice and couldn’t find my invoices anywhere. If this happens again next month we’re switching.” Every item takes the same path. Nothing is sampled, nothing is thrown away, and each stage writes back to the record so you can audit exactly how a conclusion was reached. Slack, Intercom, Zendesk, email, CSV or webhook. Everything lands in one queue with its source, customer and timestamp intact. VADER scores sentiment locally at zero cost. Add…from rereflect.ca
In the maker’s words, at launch
Hey HN! I'm the maker of Rereflect. I built this after watching teams (including my own) drown in scattered customer feedback across emails, Slack, support tickets, and surveys. Valuable insights kept getting lost. What it does: • Analyzes sentiment automatically • Categorizes pain points (bugs, UX issues, pricing…
Does a similar job
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Backsy.ai2025 · backsy.ai · ▲11I got tired of endless survey forms that nobody wants to fill out. So I built Backsy, an AI-powered feedback tool where people can just type (or speak) their thoughts, and AI auto-scores the relevant product attributes—no need for structured forms or manual analysis. Backsy also works with bulk feedback (think scraped Reddit threads, support emails, app reviews, etc.), making it easy to extract trends from raw user comments. Would love to hear your thoughts—especially if you’ve struggled with feedback fatigue or collecting useful insights at scale!
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Hey HN, I've been making products for almost a year now. I always started projects and stopped after 2 weeks because I lost motivation. But this time, I’m determined to release it – even if it’s not perfect yet! Let me introduce Feedlyst: a customer feedback tool where you can create boards, let customers submit & upvote feedback, and turn ideas into action. I hope this tool will be helpful for you! Would love your feedback! Raphael
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