Project ideas from Hacker News discussions.

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šŸ“ Discussion Summary (Click to expand)

6 Prevailing Themes from the Anthropic Customer Service Discussion

1. AI-Generated Customer Service Failures

The discussion centers around Anthropic's problematic customer service, with many pointing to AI-generated responses that lack empathy and problem-solving abilities. "The official response feels AI generated. I suspect this is a preview of our future," noted stickfigure. The company's apparent reliance on automated systems even for billing issues was highlighted when an Anthropic employee allegedly admitted, "the response was, as you imagined, generated by Claude."

2. Questionable Refund Policies and Legal Implications

Many commenters questioned the legality of Anthropic's policy refusing refunds for technical errors. "In many countries, this also isn't legally tenable," pointed out DetroitThrow. Users suggested legal remedies like small claims court, with one noting, "Small claims court is exempt from arbitration requirements."

3. Customer Retaliation for Chargebacks

A concerning pattern emerged of companies penalizing customers who dispute charges. "In response, Steam 'limited' my Steam account - effectively closing it temporarily," shared pbhjpbhj. Others noted that "doing charge back means Anthropic will ban you forever," suggesting companies use account restrictions to discourage customers from exercising their rights.

4. Hallucinating Corporate Policies

The discussion explored how AI systems might be generating inappropriate corporate policies. "If the AI writes the policy and is also responsible for enforcing it, then the hallucination becomes real," explained teraflop. This raises questions about accountability when AI systems make decisions that affect customers.

5. Internal Company Culture Issues

Commenters speculated about Anthropic's internal culture, particularly regarding customer service. An alleged employee stated, "I don't like it, but can't do much about it," suggesting powerlessness within the organization. Others noted that support teams may be disconnected from engineering teams responsible for bugs.

6. Broader Tech Industry Customer Service Decline

The Anthropic situation was seen as part of a larger trend in the tech industry. "Google's lack of customer service isn't new or limited to GCP," observed strictnein. Many lamented the decline of human support, with one noting, "Nowadays if you have a problem with a service you literally are shit out of luck because there is absolutely NOTHING you can do about it."


šŸš€ Project Ideas

Chargeback Automatorfor AI Services

Summary

  • Automates filing chargeback disputes and small‑claims paperwork when AI platforms (e.g., Anthropic) over‑bill or refuse refunds.
  • Gives users a fast, legally‑sound way to recover money without manual legal research.

Details

Key Value
Target Audience Individual AI power users, freelancers, and small dev shops
Core Feature Auto‑generate dispute letters, track refund status, integrate with Stripe/PayPal chargeback APIs
Tech Stack Node.js backend, React front‑end, Stripe/PayPal SDKs, PostgreSQL
Difficulty Medium
Monetization Revenue-ready: Subscription $9/mo per active account

Notes

  • HN commenters repeatedly mention being denied refunds and threatened with arbitration – a tool that removes the friction would be instantly valuable.
  • Could spark discussion about consumer‑rights automation and the need for ā€œAI‑fairā€ billing practices.

SmallClaims AI: Automated Small Claims Filing

Summary

  • Guides users through the entire small‑claims process against AI companies, from filing the initial claim to generating court‑ready documents.
  • Reduces the time and cost barrier of pursuing legal action for billing errors.

Details

Key Value
Target Audience Users who have been over‑charged by AI SaaS platforms and want to enforce refunds
Core Feature Document generator, jurisdiction‑specific filing templates, integration with court e‑filing portals
Tech Stack Python Django, Elasticsearch for case search, PDF generation via wkhtmltopdf
Difficulty High
Monetization Revenue-ready: $15 one‑time filing fee per case

Notes

  • The HN debate highlighted how ā€œsmall claims court is exempt from arbitrationā€ – a service that makes this accessible would resonate strongly.
  • Potential for community discussion on legal empowerment and precedent‑setting cases.

Billing Anomaly Detector for AI APIs

Summary

  • Monitors user billing histories across multiple AI services, flags unexpected spikes or duplicate charges, and auto‑creates dispute tickets.
  • Provides early warning before a charge becomes a problem.

Details

Key Value
Target Audience Dev teams, freelancers, and SaaS users who subscribe to multiple AI APIs
Core Feature Real‑time charge monitoring, anomaly detection alerts, one‑click dispute button
Tech Stack Go microservices, Prometheus + Grafana, Elasticsearch, REST webhook integrations
Difficulty Medium
Monetization Hobby

Notes

  • Users lament that ā€œcompanies silently bill extra usageā€ – a detection tool would empower them to catch errors early.
  • Could generate discussion about transparency in AI pricing models.

Contract Clause Analyzer for Arbitration Traps

Summary

  • Scans service agreements (e.g., AI provider terms) for hidden arbitration clauses, unfair compensation policies, and flags them for users before they sign up.
  • Offers a risk score and suggested revisions.

Details

Key Value
Target Audience Developers, SaaS buyers, and legal teams evaluating AI vendor contracts
Core Feature Text extraction, clause‑matching engine, risk scoring, highlighted excerpts
Tech Stack Rust backend, spaCy NLP, React UI, PostgreSQL
Difficulty High
Monetization Revenue-ready: $29/mo per user (team plan)

Notes

  • The HN debate exposed a policy that ā€œunable to issue compensationā€ – a pre‑sale analyzer would help users avoid such traps.
  • Sparks conversation about contract literacy and vendor due diligence.

Collective Refund Pressure Platform (CROWD)

Summary

  • A community‑driven petition and coordination tool that aggregates refund complaints against AI services, sending mass notifications to CEOs and media outlets.
  • Turns individual grievances into collective leverage.

Details

Key Value
Target Audience Disgruntled AI users, consumer‑rights advocates, and activist groups
Core Feature Bulk email/SMS campaign, public scoreboard of companies, automated media outreach templates
Tech Stack Node.js, Twilio API, Mailgun, GraphQL backend
Difficulty Low
Monetization Hobby

Notes

  • The discussion repeatedly called for ā€œsmall claims courtā€ and ā€œchargebacksā€; a coordinated pressure tool aligns with that sentiment.
  • Could become a talking point for HN users interested in grassroots tech accountability.

AI Support Fairness Scoreboard

Summary

  • Aggregates public support interactions (e.g., chat logs, refund refusals) to assign a fairness rating to AI companies.
  • Lets users compare providers and choose more customer‑friendly options.

Details

Key Value
Target Audience Consumers, tech journalists, and procurement teams evaluating AI vendors
Core Feature Sentiment analysis of support replies, rating dashboard, downloadable reports
Tech Stack Python, BERT transformer, Elasticsearch, D3.js visualization
Difficulty Medium
Monetization Revenue-ready: $5 per report download (premium analytics)

Notes

  • Commenters accused Anthropic of ā€œAI‑generatedā€ no‑refund replies – a transparent scoreboard would expose such patterns.
  • Likely to generate discussion about governance of AI customer service.

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