IdeaWell

Project ideas from Hacker News discussions.

Show HN: Palmier Pro – Open-source macOS video editor built for AI

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

Key Themes from the Discussion

# Theme Supporting Quote
1 Native‑Mac convenience and accessibility “Seems super convenient! I spent yesterday trying to edit a simple video for a project by hand and it was not a fun experience! Will check it out!” – didriksg
2 Targeted video‑editing use cases (large libraries, 360°, speaker segmentation) “I will start with older standard GoPro videos, and hope that by the time I make it to the Insta360 videos the editor supports 360 video (unless it does already!)” – nsbk
“Long videos with different speakers is a core use case that we are trying to optimize for…” – harrisontin
3 Pricing model concerns (subscription vs. credit purchase) “I would jump on a launch offer… Credits sit there and wait for me, a subscription just quietly bills me for months I don’t need it.” – marciplan

Summary
The discussion centers on the app’s native‑Mac appeal, its suitability for heavy‑duty video workflows (e.g., processing large libraries and automatically editing speaker segments), and a strong user preference for a flexible credit‑based pricing model over recurring subscriptions.

🚀 Project Ideas

AI‑Powered Automatic Speaker Segmentation & Chapter Generation

Summary

  • Automatically detect speakers in long videos and generate chapter markers or short highlight clips.
  • Eliminates manual scrubbing and cutting for podcasters, educators, and interview creators.

Details

Key Value
Target Audience Podcasters, educators, interviewers, content creators with long-form video
Core Feature Speaker diarization, auto‑chapter creation, exportable speaker segments
Tech Stack Python (Whisper, PyAnnote), FastAPI backend, Electron/React UI
Difficulty Medium
Monetization Revenue-ready: Pay‑per‑use credit bundles

Notes

  • HN commenters explicitly asked for “automatic edits of speaker transitions” and mentioned “Long videos with different speakers is a core use case” – this product answers that need directly.
  • Users expressed frustration with manual editing (“spent yesterday trying to edit a simple video… not a fun experience!”) – the automation solves that pain.
  • Preference for native apps and concerns about subscription models suggest a lightweight desktop wrapper would be welcomed.

Lightweight Native Cross‑Platform Video Editor Built in Rust

Summary

  • A native, low‑resource video editor that runs on macOS, Windows, and Linux, offering AI‑assisted cuts and 360° support without Electron bloat.

Details

Key Value
Target Audience Indie video editors, hobbyists, creators seeking performant native tools
Core Feature AI‑driven scene detection, 360° video support, plugin architecture, offline processing
Tech Stack Rust, Tauri desktop framework, FFmpeg, OpenCV, ONNX runtime for AI models
Difficulty High
Monetization Hobby

Notes

  • Commenters praised “real native apps (vs electron hogs)” and highlighted Rust/Crux as a cool alternative – this project fulfills that desire.
  • The demand for “cross‑platform” and “heavy lifting” indicates a need for a fast, native solution that avoids heavy web tech.
  • Users want to avoid subscription pricing; a hobby‑oriented model with optional paid assets aligns with their expectations.

Credit‑Based SaaS Video Editing Platform with Bulk Credit Packs

Summary

  • Browser‑based video editor that charges only for credits consumed per export, offering bulk credit bundles for occasional editors who dislike recurring subscriptions.

Details

Key Value
Target Audience Small businesses, freelancers, hobbyists who edit videos sporadically
Core Feature AI‑assisted editing tools, one‑click export, credit ledger, bulk purchase discounts
Tech Stack Node.js backend, serverless functions, React front‑end, Stripe for credit sales
Difficulty Low
Monetization Revenue-ready: One‑time credit packs (e.g., $29 for 100 credits)

Notes

  • A user suggested “dropping the ‘subscription’-part and ‘just’ selling credits” and highlighted the appeal of a launch‑offer credit bundle – this product implements that exact model.
  • Feedback from HN indicated “I don't need a video every month… a subscription just quietly bills me” – the credit‑only approach removes that friction.
  • The community is eager for a pricing model that feels like a “launch offer” rather than ongoing fees, matching this project's value proposition.

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