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Agent Wispr
Local Whisper dictation built for coding terminals
→ 100% local inference — Wispr-optimized model runs on your hardware → Model selection — tiny (75MB, CPU) to large-v3 (3GB, CUDA) → Correction dictionary — teach your vocabulary, corrections apply retroactively to history → Toggle and push-to-talk modes → Full transcript history w/ search and CSV export → Compact floating widget (95px collapsed) → CUDA GPU acceleration auto-detected → Cross-platform — Linux, macOS, Windows Free demo available. Full version: CA$29.99 one-time. No subscription.
Builder here.
Agent Wispr started as a personal tool — I wanted dictation in my coding
workflow that ran locally, had no subscription, and could learn the
vocabulary of whatever project I was working on.
The correction dictionary is the piece I'm most proud of. You correct a
misrecognition once, and it fixes that everywhere — retroactively in your
history and in all future transcriptions. For technical vocabulary (library
names, variable names, domain terms), it makes a significant accuracy difference.
A note on limitations: Whisper's accuracy varies by model size and accent.
The large-v3 model is substantially more accurate for technical content than
the tiny model, at the cost of VRAM and latency. The correction dictionary
addresses the jargon problem; accent sensitivity is an upstream Whisper
limitation I can't solve at this layer.
Free demo resets daily at midnight — enough to evaluate whether it fits
your workflow before purchasing.
This is the first product in a local-first AI developer toolkit I'm
building — Agent Brain (shared semantic memory for AI coding agents)
is coming soon.
Happy to answer questions about the implementation.
About Agent Wispr on Product Hunt
“Local Whisper dictation built for coding terminals”
Agent Wispr was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #44 on the daily leaderboard. → 100% local inference — Wispr-optimized model runs on your hardware → Model selection — tiny (75MB, CPU) to large-v3 (3GB, CUDA) → Correction dictionary — teach your vocabulary, corrections apply retroactively to history → Toggle and push-to-talk modes → Full transcript history w/ search and CSV export → Compact floating widget (95px collapsed) → CUDA GPU acceleration auto-detected → Cross-platform — Linux, macOS, Windows Free demo available. Full version: CA$29.99 one-time. No subscription.
On the analytics side, Agent Wispr competes within Languages, Developer Tools and Artificial Intelligence — topics that collectively have 993.3k followers on Product Hunt. The dashboard above tracks how Agent Wispr performed against the three products that launched closest to it on the same day.
Who hunted Agent Wispr?
Agent Wispr was hunted by Joshua R. Lehman. 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.
For a complete overview of Agent Wispr including community comment highlights and product details, visit the product overview.
Joshua R. Lehman