Indie SaaS founders on r/indiehackers report that they collect NPS and CSAT responses diligently but never actually mine the historical free-text for patterns — responses pile up in Typeform, Delighted, or a CSV and get reviewed once then forgotten. NPS Archaeology ingests past survey exports, clusters qualitative responses by theme using embeddings, and builds a timeline showing when specific complaints first appeared and whether they're growing or shrinking — revealing which product bets actually moved sentiment. It's a one-time or quarterly tool, not another always-on dashboard.
SaaS founders with 6+ months of NPS/CSAT data sitting in Typeform, Delighted, or CSV exports who've never systematically analyzed it
Pay-per-analysis: $29 per report up to 500 responses, $79 up to 5,000; no subscription required to lower friction
Reddit: Embeddings-based semantic clustering is now cheap enough ($0.02 per 1M tokens) that a solo dev can offer this as a paid service at a margin that wasn't possible 18 months ago.
Embeddings-based semantic clustering is now cheap enough ($0.02 per 1M tokens) that a solo dev can offer this as a paid service at a margin that wasn't possible 18 months ago.
Accept a CSV upload of NPS responses with timestamps, run embedding-based clustering, and return a PDF report with the top 5 themes, their frequency over time, and representative verbatim quotes per cluster.
Sentence embeddings cluster semantically similar complaints even when phrased differently ('too slow' and 'laggy on mobile' land in the same bucket), and an LLM writes the executive summary paragraph per cluster.
One-time use per dataset means LTV is low unless founders return quarterly — must design a 'run again on new data' nudge into the post-report experience.
Likely buyers are founders, operators, and small teams with a recurring business process. Start with SaaS founders with 6+ months of NPS/CSAT data sitting in Typeform, Delighted, or CSV exports who've never systematically analyzed it and validate whether this can replace a spreadsheet, manual review, or consultant workflow.
Find the first 10 users by searching for recent complaints around "SaaS analytics" in Reddit, developer communities, GitHub issues, and niche Slack or Discord groups. Offer a concierge version first: manually solve the workflow for a few users, then automate only the repeated steps.
This opportunity also appears in curated IdeaGenius playbooks for builders comparing adjacent markets.
Get a complete blueprint for building this app — tech stack, database schema, API endpoints, go-to-market plan, and more. Generated by AI in seconds. Download as Markdown.
To build a NPS Archaeology: Historical Customer Feedback Pattern Miner app, start by validating the problem. Generate a full project spec above for a complete tech stack and build plan.
A easy difficulty app like this typically costs $0-$5,000 for an MVP. Monetization: Pay-per-analysis: $29 per report up to 500 responses, $79 up to 5,000; no subscription required to lower friction.
SaaS founders with 6+ months of NPS/CSAT data sitting in Typeform, Delighted, or CSV exports who've never systematically analyzed it