Ask HN: What are you working on? (June 2026)

Summary

• Auto‑calculate true maintenance calories using continuous weight‑tracking data and ML regression, far more accurate than static formulas.
• Integrates with wearables, food logs, and smart scales for real‑time TDEE adjustments.
• Provides daily calorie and macro targets that adapt to metabolic adaptation, plateaus, and lifestyle changes.

Details | Key | Value |

|-----|-------| | Target Audience | Fitness enthusiasts, hobby diet planners, clinicians looking for a data‑driven weight‑management tool | | Core Feature | Continuous maintenance‑calorie estimation with auto‑adjusting macro recommendations | | Tech Stack | Python (FastAPI), PyTorch Lightning, SQLite, Apple Health/Google Fit APIs, Docker | | Difficulty | Medium | | Monetization | Revenue-ready: Subscription tier $5/mo for advanced analytics & multi‑user support |

Notes

• HN users repeatedly praised MacroCodex for accurate TDEE calculations but noted its isolation; this expands the concept into a broader, ecosystem‑agnostic platform.
• The ML model can be open‑sourced to attract community contributions, while the hosted service offers recurring revenue.
• Potential to integrate with existing habit‑tracking apps for a seamless workflow.

Summary

• Mobile/web app that logs peak flow readings and automatically overlays environmental data (pollen, AQI, temperature, weather). - Generates early‑warning alerts for likely asthma triggers and lets users export secure PDFs for clinicians.
• Designed with zero waste: all data stored locally, optional carbon‑negative hosting via renewable‑energy‑powered servers. ### Details
  | Key | Value | |-----|-------| | Target Audience | Asthma patients, caregivers, pulmonology clinics, environmental‑health researchers | | Core Feature | Integrated peak‑flow logging + predictive trigger alerts using external APIs | | Tech Stack | React Native, Node.js (Express), PostgreSQL, Chart.js, ElasticSearch, AWS Lambda (green region) | | Difficulty | High | | Monetization | Revenue-ready: Tiered pricing $3/mo basic, $8/mo premium with clinician portal |

Notes

• Directly addresses shibel’s interest and the massive asthma market (363 M globally).
• Community‑driven open data could feed public health research, fostering discussion on HN. - Carbon‑negative angle aligns with sustainability conversations in the HN audience.

Summary

• Self‑hosted knowledge graph built on Markdown files with full‑text, vector, and hybrid search via Typesense.
• Adds AI‑driven “agents” that can answer queries, auto‑generate TODO lists, and link related notes without leaving the terminal.
• Privacy‑first: all data stays on the user’s device or private server; no cloud tracking.

Details

Notes

• HN commenters like 1024bits and aleda145 highlighted demand for fast, offline search and agentic navigation of notes.
• Open‑source promise will attract contributors; commercial SaaS layer can monetize team features.
• Could integrate with HN Alerts for a unified “research‑first” workflow.

Summary

• Enhanced HN monitoring service that fires alerts not only on up‑vote spikes but also on keyword/phrase detection, sentiment shifts, and emerging topics.
• Sends multi‑channel notifications (email, Slack, Discord) with customizable thresholds and daily digests.
• Includes a built‑in “trending‑story” summarizer that extracts key points via LLMs.

Details

Notes

• Directly improves on davidbarker’s HN Alerts, adding the keyword detection that argee asked about.
• HN community often discusses breaking news; a smarter alert system would be heavily up‑voted.
• Open API enables integration with other community tools, encouraging ecosystem growth.

• A collaborative, all‑in‑one workspace written entirely in Rust, eliminating HTML/JS dependencies.
• Supports real‑time whiteboarding, markdown documents, and embedded agents for task automation.
• Offers instant multi‑user syncing with conflict‑free CRDTs and optional end‑to‑end encryption.

Details

Notes

• 1024bits showcased a similar Rust‑only workspace (TotemKB) and faced TOS issues; this offers a clean, community‑hosted alternative.
• Emphasis on Rust appeals to the systems‑programming crowd that frequents HN.
• Potential integration with AI agents (e.g., Claude‑Code) could spark collaborative discussions.

• A privacy‑centric search indexer that crawls the “small web” (personal blogs, indie sites, federated platforms) and builds a searchable repository using hybrid full‑text/vector indexing.
• Provides a lightweight, self‑hostable search UI that respects robots.txt and offers opt‑out controls for site owners.
• Designed to be energy‑efficient, running on low‑cost VPS or edge devices.

Details

Notes

• Directly answers verdverm’s gmd project and the broader desire for offline, privacy‑preserving search.
• Could be marketed to the “small web” community, generating buzz on HN’s tech‑policy threads.
• Open‑source licensing encourages contributions and builds a user base for future services.

Summary

• CLI tool that monitors your usage of AI‑powered coding services (Claude, Codex, etc.) and automatically resumes terminal sessions once quota refreshes, preserving context and terminal state.
• Offers a simple “continue” command that restores the exact environment, including open files and running processes.
• Includes optional notification integration (Slack, Discord, email).

Details

Notes

• BrunoBernardino and many HN users complained about manually typing “please continue”; this solves that pain point directly.
• Simple utility with immediate utility for the AI‑tool‑heavy HN crowd; easy to share on r/unixporn or HN itself.
• Could be extended to integrate with multiple AI APIs, broadening its appeal.

Summary

• Web‑based observability suite for embedded hardware and test equipment (e.g., oscilloscopes, multimeters, loggers).
• Users upload CSV/WAV captures; AI parses waveforms, extracts metrics, and generates plain‑English diagnostics and suggested fixes.
• Generates shareable PDF reports with annotated plots, facilitating remote troubleshooting and peer review.

Details

Notes

• Inspired by dhrm1k’s networking hardware work and the need for better debugging tools discussed on HN. - Provides a clear, actionable solution to the “how do I debug this oscilloscope trace?” question that often appears in hardware‑focused threads.
• Combines open‑source AI models with a user‑friendly UI, encouraging community adoption and contributions.