IdeaWell

Project ideas from Hacker News discussions.

Bored of eating your own dogfood? Try smelling your own farts

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

1. Dogfooding & self‑experience

“smelling your own farts” – schiffern

2. Broken support pipelines & upsell bloat

“the second part is useless as they can no longer see the data they need and thus canceling it entirely since it didn’t get the right metrics.” – mrweasel

3. Employee disengagement & lost ownership

“I envy the people who can give a shit for longer than 2‑3 years at any given job.” – apexalpha

4. Leadership out‑of‑touch with reality

“When was the last time the CEO of the above company called their own customer support line?” – Quarrelsome (edited excerpts)

🚀 Project Ideas

Dogfood Experience Simulator

Summary

  • A SaaS platform that recreates end‑to‑end customer support journeys (including IVR, hold music, scripted FAQs) for internal product teams to experience the user pain firsthand.
  • Solves the “smell your own farts” problem by forcing engineers and managers to live through real support friction.

Details

Key Value
Target Audience Product managers, engineering leads, UX designers in mid‑to‑large tech companies
Core Feature Interactive sandbox that streams anonymized support call recordings and lets users navigate them as a caller, with sentiment feedback
Tech Stack Python (FastAPI), GraphQL, React, ElasticSearch for transcript indexing, Docker for sandbox isolation
Difficulty High
Monetization Revenue-ready: subscription per active user seat (tiered)

Notes

  • Directly addresses HN comments about “dogfooding” being rare – provides a safe way to simulate real customer pain.
  • Could generate actionable bug reports automatically, feeding back into dev pipelines.

Support Insight Engine

Summary

  • AI‑driven analytics service that ingests support tickets, chat logs, and call transcripts to surface hidden pain points, churn risk, and recurring friction themes.
  • Turns raw support data into actionable product improvements.

Details

Key Value
Target Audience Customer success teams, product analysts, support operations managers
Core Feature Multi‑modal NLP model that clusters issues, scores frustration, and recommends prioritization
Tech Stack Python, HuggingFace Transformers, PostgreSQL, Supabase for real‑time dashboards
Difficulty High
Monetization Revenue-ready: tiered pricing based on tickets processed per month

Notes

  • HN discussions highlighted “no one cares about customer pain” – this makes pain visible and quantifiable.
  • Can automatically tag tickets with “dogfood needed” flags, prompting internal teams to experience the issue.

Empathy‑Triggered Escalation Bot

Summary

  • A chatbot that monitors conversation sentiment and, when frustration thresholds are crossed, immediately routes the user to a human agent or escalates within the support system, reducing escalation latency.
  • Provides a quick fix for “phone tree fatigue” and “unending wait times.”

Details

Key Value
Target Audience SaaS customer support centers, fintech apps, marketplace platforms
Core Feature Real‑time sentiment analysis on chat/text, auto‑escalation trigger with SLA guarantees
Tech Stack Node.js, TensorFlow.js (sentiment model), Firebase Realtime DB, Slack API for internal routing
Difficulty Medium
Monetization Revenue-ready: per‑agent subscription with optional premium SLA add‑on

Notes

  • Directly answers HN complaints about “getting stuck in a loop” and “calling until resolved” – the bot intervenes early.
  • Offers a practical utility for reducing churn and improving NPS, while also giving teams data on friction points.

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