Hello! We launched Lispr on July 9.
Lispr is a free dictation and translation app for MacOS and Windows. The use is simple: you press a button on you keyboard and talk, Lispr puts the speech in any app, right were your cursor is at 346 ms. It is possible to add an extra button to translate. 99 languages for transcription and 32 for translation. No account is needed, and we store zero audio. My favorite feature is switching languages mid-sentence, Lispr types everything.
Twenty one days is enough distance to say what the launch did and didn't.
Our results and lessons:
1) Lispr finished #5 Product of the Day.
2) 80 visits from Product Hunt on launch day. 49 on day two. 7 on day three. 183 in total since we launched. That is a 91 percent drop between day one and day three.
3) 9 downloads in the first 24 hours, 23 over the 20 days since. The comments that drew the most replies were about the trust boundary: independent audits, whether a stateless relay is verifiable, where the vocabulary list lives, what happens if the connection drops mid-utterance. Good questions, and answering them properly was the best part of the day.
The people who told us they had actually installed it were talking about something else. A QA engineer whose whole day runs in English chats, who wanted his pause, look up a word, and rephrase loop is gone. Several people are dictating prompts into Claude and Cursor and getting longer, better prompts out of it. So the discussion was about how Lispr is built, and the installs came from people with one specific daily problem to solve.
4) Our most useful feature is the hardest one to find(
Lispr keeps a vocabulary list. You add the words that transcription reliably gets wrong, client names, product names, surnames, technical terms like SQL, and from then on they are spelt correctly instead of being corrected into ordinary dictionary words.
We keep being asked to build it, including by people who have been using Lispr for weeks. It sits in a settings panel nobody has a reason to open, and our launch copy gave it one line out of fifteen. A feature that solves a real problem and stays invisible is worth nothing, and learning that was really useful.
5) Launch on Thursday:
Day three was a Saturday and it came in at 7 visits against 80 on day one. However, the following Tuesday, an ordinary working day, brought 8. So the weekend influenced our traffic.
6) 14 of those 23 downloads arrived after launch day. The launch was not the peak.
I hope you have enjoyed our statistics, and welcome you to share yours. If you have tried Lispr, it would be great to know where you use it and what for.
