This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
bl is a terminal-based dictionary client written in Go. Three query paths in one binary: offline SQLite dictionaries (no network), web
scraping (Youdao EN⇄ZH, WoerterNet German), and LLM translation for any language pair via OpenAI-compatible API. Version 1.8 adds grammatical
sentence analysis with token-level POS tagging, dependency relations, and phrase structure trees for German (V2/case system), French
(agreement/clitics), and English.
What makes bl different:
1. Three-tier lookup: Offline SQLite → Cache → LLM API. Auto-fallback means you get results even without network.
2. Grammar analysis (v1.8):
bl --llm --parse "Der Mann geht nach Hause."
Parses any sentence into POS tags, lemma, morphological features, dependency relations. No other terminal dictionary offers this.
3. Lemma extraction: Inflected forms auto-reduce to dictionary form.
- ging → gehen (past tense, 1st/3rd person singular)
- besser → gut (comparative)
- ran → run
4. Multi-provider LLM with auto-fallback: Configure multiple providers. If one fails (rate limit, timeout), bl tries the next automatically.
5. Interactive config UI: bl -C — full terminal UI, no config file editing.
6. Bot support: Telegram and DingTalk bots built from the same codebase.
Tech stack: Pure Go, ~10MB single binary, zero runtime deps. modernc.org/sqlite (no CGO), goquery for HTML parsing. Output formats: Markdown,
JSON, oneliner.
Install: sudo dnf copr enable xieguaiwu/bl && sudo dnf install bl
GitHub: https://github.com/xieguaiwu/bl
No comment highlights available yet. Please check back later!
About GitHub on Product Hunt
“AI translation & grammar parsing in your terminal”
GitHub was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #37 on the daily leaderboard. 跨平台命令行英语德语词典 a command-line English & German dictionary - xieguaiwu/bl
GitHub was featured in Open Source (68.6k followers), GitHub (41.3k followers) and Vibe coding (561 followers) on Product Hunt. Together, these topics include over 38.7k products, making this a competitive space to launch in.
Who hunted GitHub?
GitHub was hunted by New User. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GitHub stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
New User