OnPanda
Steer LLMs and agents at the token level
Details
- External ID
- 49759013
- Source
- HN
- Company
- —
- Product
- OnPanda
- Website domain
- diyer22.com
- Launched
- Sept. 18, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.12998405103668262
- Tags
- —
- Fetched at
- Sept. 22, 2026, 5:02 p.m.
- Updated at
- Sept. 22, 2026, 5:02 p.m.
Description
I built onPanda – an interactive tool for token visualization & control, model inspection and data annotation.onPanda is designed for hackers, power users, curious minds, and engineers. Its UI is built for deep exploration and efficient data annotation.- The core loop is simple: hover over a token → click an alternative or edit freely → continue generation. You can edit every part of model output exposed by onPanda, including reasoning and tool calls.- Edit prompts directly, branch tool calls, and use a tree structure to record branch history. This makes onPanda useful for model inspection and prompt engineering.- Support multiple modalities, including images, video, and audio; use tool calls and connect MCP servers to perform tasks in real environments.- Connect popular harnesses such as Claude Code, Codex, and OpenCode to execute tasks. Explore and compare their tool sets, system prompts, skills, and memory mechanisms.- onPanda includes a built-in browser-agent, an agent that runs in the user's browser without installation. It uses the browser as its harness and provides JavaScript execution, information retrieval, interface interaction, multimedia I/O, local file access, and persistent memory.- onPanda stands for on-Policy Alignment Data Annotator. - As an annotation tool, onPanda efficiently labels on-policy data. Its token-level correction format also provides fine-grained supervision with precise positions and naturally paired positive–negative samples. - We believe these unique properties will make token-level correction a highly efficient and practical paradigm for future LLM alignment. - Our paper and benchmark for token-level correction: https://on-panda.github.io/research/ I have been building onPanda since Sept 2024, and it took two years for it to gradually enrich its functionality and ease of use. Any feedback and evaluation are welcome.Try it online (works on mobile): https://onpanda.diyer22.com/GitHub repo for self-hosting: https://github.com/on-panda/on-pandaDetailed introduction on X: https://x.com/diyerxx/status/2101020850405462041
Enrichment
- Theme
- browser automation and scraping for AI
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- token-level steering for language models
- Manually corrected
- False
Could you build this?
Yes An interactive web UI to inspect model logits, hover over tokens, and tweak generation parameters via standard LLM API logit bias or open model endpoints is well within vibe-coding scope.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 12 launches clear the similarity bar, closest 8 shown.
Attention rank: #11 of 13 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 281 days after the earliest competitor.
- Claude/Gemini/Codex 10-100x faster with pandō (CAD for code) · hn · 2026-02-26 · 11 upvotes · similarity 0.37
- Crustdata (YC F24) · hn · 2026-02-25 · 10 upvotes · similarity 0.37
- Autofix Bot · hn · 2025-12-11 · 37 upvotes · similarity 0.35
- Companero · ph · 2026-09-30 · 2 upvotes · similarity 0.33
- Steerling-8B, a language model that can explain any token it generates · hn · 2026-02-24 · 328 upvotes · similarity 0.32
- LedgerPanda · ph · 2026-09-30 · 1 upvotes · similarity 0.32
- Remy, an AI agent that compiles annotated Markdown into full-stack apps · hn · 2026-04-13 · 5 upvotes · similarity 0.31
- Statewright · hn · 2026-05-12 · 126 upvotes · similarity 0.31
Other launches for this product
- No other launches for this product.
Same idea, different domain
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