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Show HN: Domscribe – Deterministic DOM-to-source mapping for AI coding agents

Hey HN! I built Domscribe to solve a problem that was eating my productivity.I spend a lot of my time working with AI coding agents. The thing that kept eating at my productivity though was that every time I asked an agent to fix something on the frontend, the actual edit took maybe 200 tokens. But before that happened, the agent would go on this whole journey, grepping through the codebase and at times having to backtrack. That search loop could burn 5,000-10,000 tokens before a single line

hackernews⭐ 50Mar 31

[community-scripts/ProxmoxVE] LobeHub install fails due to ParadeDB APT repository (402 Payment Required) on Debian 13 (trixie)

### ✅ Have you read and understood the above guidelines? yes ### 🔎 Did you run the script with verbose mode enabled? Yes, verbose mode was enabled and the output is included below ### 📜 What is the name of the script you are using? LobeHub ### 📂 What was the exact command used to execute the script? bash -c "$(curl -fsSL https://raw.githubusercontent.com/community-scripts/ProxmoxVED/main/ct/lobehub.sh)" ### ⚙️ What settings are you using? - [x] Default Settings - [ ] Advanced Settin

[lattafausa3/Lattafa-Official-USA] Lattafa Khamrah The Sweet & Spicy Fragrance Everyone Loves

In the world of modern perfumery, Lattafa Khamrah has quickly become one of the most talked-about fragrances. Known for its warm, sweet, and spicy profile, this perfume offers a luxurious experience without the high price tag. It has gained massive popularity among fragrance enthusiasts who appreciate long-lasting and unique scents. ### **What Makes Lattafa Khamrah Unique?** One of the standout qualities of Lattafa Khamrah is its rich and inviting composition. It combines sweet gourmand notes wi

[vibe-driven/lean-elixir] A4: XMSS Signature Aggregation — Rust NIF (lean_multisig)

## Overview Implement XMSS signature aggregation as a Rust NIF wrapping the `lean_multisig` crate. ## Background Block proposers collect individual XMSS signatures from attesters and produce a single aggregated proof. This is critical for block size efficiency — without aggregation, 4,096 × 3,112 bytes of signatures per block would be impractical. ## NIF Functions to Expose ```elixir # Module: LeanConsensus.Crypto.Aggregation setup_prover() :: prover_handle setup_verifier() :: verifier_hand

github⭐ 50Mar 31

[bitbybit-ar/bitbybit-habits] feat: NIP-58 Nostr badges for habit achievements

## Summary Publish Nostr badges (NIP-58) when kids reach habit milestones. The sponsor's Nostr pubkey acts as the badge issuer, and badges are visible across any Nostr client that supports NIP-58. ## Why - Gives kids a way to show off their achievements across the Nostr ecosystem - Deepens the Nostr integration beyond login - High visibility feature for the FOUNDATIONS hackathon Stage 2 (Nostr theme) ## Badge milestones (initial set) | Badge | Trigger | |-------|---------| | First Habit | K

[bug-ops/zeph] refactor(zeph-llm): remove dead ModelOrchestrator in favour of RouterProvider

## Summary `ModelOrchestrator` and its supporting module (`orchestrator/`) are dead code. The routing path that was supposed to activate them (`LlmRoutingStrategy::Task`) was never implemented and explicitly falls back to a single provider. All real routing goes through `RouterProvider` (EMA / Thompson / Cascade / Bandit) and `TriageRouter`, which are strictly more capable. This is a pre-v1.0.0 cleanup: no backward compatibility concerns, no deprecation shims needed. ## Evidence ### `LlmRout

I need help I’ve got 2 built startups and need advice

<div class="md">I’ve currently built a online marketplace for second hand gym equipment and a software tool which analyses companies financial information to generate risk assesments, only problem is I couldnt get any gym-focused businesses to list equipment. I also dont have a clue who to sell the software to i was going to do small loaning businesses, but i could not get in contact with any.I tried tradesmen incase the are worried about contractors they work for not paying th

reddit42Mar 31

[anthropics/claude-code] [BUG] Duplicate compaction subagents spawned (5x identical work, 65% of session quota) — changelog fix incomplete as of v2.1.87

### Preflight Checklist - [x] I have searched existing issues and this hasn't been reported yet - [x] This is a single bug report (please file separate reports for different bugs) - [x] I am using the latest version of Claude Code ### What's Wrong? Compaction subagents are being spawned multiple times for the same work. In one session, **5 identical compaction agents** ran in parallel on Opus, sharing 100% of their requestIds, consuming quota equivalent to ~$213 at API rates — **65% of the ent

github⭐ 65Mar 31

[scholtz/capitalism] Implement post-onboarding startup pack offer and subscription-ready conversion flow

## Summary Implement the first post-onboarding monetization moment by introducing a polished startup pack offer and subscription-ready conversion surface immediately after the guided guest onboarding flow reaches the first-profit milestone. The roadmap already states that a startup pack should be available after the player finishes onboarding, with a limited-time offer that costs $20 and includes three months of pro subscription plus in-game currency. The product should now turn that roadmap st

github🔥 75Mar 31

[tenxyte/tenxyte-js] #57 — Settings + Tenxyte Bootstrap

## Description Wire `tenxyte.setup(globals())` and run `tenxyte_quickstart`. **Target files**: `server/settings.py`, `server/urls.py` ## Tasks - [ ] `import tenxyte; tenxyte.setup(globals())` at end of `settings.py` - [ ] Set `TENXYTE_SHORTCUT_SECURE_MODE`, `TENXYTE_ORGANIZATIONS_ENABLED = True`, `TENXYTE_AUDIT_LOGGING_ENABLED = True`, `TENXYTE_MAGIC_LINK_ENABLED = True`, `TENXYTE_WEBAUTHN_ENABLED = True`, `TENXYTE_BREACH_CHECK_ENABLED = True`, `TENXYTE_AIRS_ENABLED = True`, `TENXYTE_AIRS_BUDG

github47Mar 31

[cssgunc/senate] Admin API Routes — Events, Carousel, Staff, Finance, Budget, Pages, Districts, Accounts

### Motivation These are the remaining admin CRUD routes. Each is relatively simple (standard create/update/delete pattern), so they're grouped into one ticket to avoid excessive ticket overhead. ### Deliverables - **Events**: POST, PUT, DELETE `/api/admin/events` - **Carousel**: POST, PUT, DELETE `/api/admin/carousel` + `PUT /api/admin/carousel/reorder` (accepts `{ slide_ids: int[] }` to batch-reorder) - **Staff**: POST, PUT, DELETE `/api/admin/staff` - **Finance Hearings**: `PUT /api/admin/

github42Mar 31

[dkoosis/snipe] snipe context: default to Claude-optimized prose, not JSON

## Problem `snipe context` (bare, no flags) outputs raw JSON — the same structure as `--format json`. This violates D1 ("default output = what Claude reads directly, terse structured prose") and D4 (token budget). The current output is ~15k tokens of JSON with significant redundancy, test function spam, vacuous descriptions, and no project purpose statement. Claude has to parse JSON structure to orient — prose would be directly consumable. ## Desired behavior | Command | Output | |---------|

[TASK] Need a chamber of commerce member directory put into a spreadsheet [$30]

<div class="md">I need all members from a Chamber of Commerce website compiled into a spreadsheet. The directory is large (around 1,600 members), so attention to detail and accuracy is very important. Please include the following columns: Business Name, Address, and Phone Number. The final spreadsheet should be clean, well-organized, and easy to read, with consistent formatting throughout. It should be ready to use for outreach or record-keeping without needing additional edits

reddit⭐ 62Mar 31

[crabtalk/crabtalk] Daemon-native agent switching within a session

## Problem Agent switching via `@mention` is currently a client-side trick. The CLI parses `@agent`, requests a compact, then sends a new `StreamMsg` targeting a different agent. The daemon sees two unrelated requests with no structural link. This has three problems: 1. **Every client reimplements it.** TUI, Telegram, future IDE extensions — each must parse `@`, decide how to summarize context, and manage the handoff. Same logic, N implementations. 2. **No session continuity.** The daemon see

[xRiku/fit-calendr] PRD: Shareable Modality-Based Training Plans (MVP)

## Problem Statement Users can currently log workouts and attach workout presets (chips), but they cannot package a complete routine and share it with another user. In practice, users are already exchanging structured routines in chat (for example: chest/back/legs sessions with exercise lists and optional variations), then manually recreating them in the app. This causes friction, inconsistency, and repeated effort: - Coaches, friends, and family cannot transfer routines directly inside the pr

[ayokura/kalimba-transcription] design(recognizer): restructure segment_peaks — candidate pool + combinatorial chord selection

## Problem `segment_peaks` (752行) は逐次的に primary→secondary→tertiary と1音ずつ確定する構造。これにより3つの構造的問題がある: ### A. 評価順序依存の physically-impossible 誤判定 BWV147-163 E136: 正解は `[E5, G4, E4, C4]`。C4(key9)+E4(key10)+G4(key11) は隣接keyで3key slideとして弾ける。しかし逐次評価ではG4がE4より先にacceptされ、C4チェック時に `selected=[E5(key4), G4(key11)]` → gap 5 → physically-impossible。E4がacceptされた後なら `[key4, key9, key10, key11]` → playable。 ### B. バックトラックなし一度 `selected` に追加された音は再考できない。G4をE4+C4のために差し替える機構がない。 ### C. Gate非対称 Sequential architec

[razrfly/pokevestment] Step 3: Feature Matrix Assembly + Preprocessing

## Purpose Build the **Feature Matrix Assembly** pipeline — the bridge between raw database tables (22K cards, 62K price snapshots, 161K deck cards, 1K species) and the Explorer DataFrame that XGBoost trains on. This is the hardest engineering step in the MVP because it touches every table in the system and must produce a clean, well-typed ~22K × 85-column matrix with correct null handling. **Depends on**: #38 Step 2 (ML Dependencies + Prediction Tables) ✅ Complete **Feeds into**: Step 4 (Mode

Looking for someone who's actually built AI agents (contract)

<div class="md">We’re working on a web-based project and looking for someone to come in for ~3 months and help us organize and build out systems. This is not a typical PM role — we need someone who understands development AND has experimented with AI agents / automation (OpenAI, workflows, etc). You’d be working closely with a small team, helping structure things, implement ideas, and move fast. Not overly corporate — we care more about what you’ve actually

reddit42Mar 31

[justinjoy/wirelog] Distributed Async Evaluation — Support W=512+ Multi-Worker Scaling

# Issue #401: Distributed Async Evaluation — Support W=512+ Multi-Worker Scaling ## Summary The wirelog TDD (Timely-Differential Dataflow) multi-worker evaluation pipeline exhibits **super-linear slowdown** beyond W=4: running with W=8 workers is **8% slower** than W=4 (28.3s vs 26.1s), despite doubling the worker count. This violates the expected near-linear scaling behavior and blocks any path to high-parallelism deployment. The root cause is a combination of **barrier-based synchronous coo

github45🌍 RemoteMar 31