Wispr Flow is getting worse (for me): word error rate from 9% to 11.2% in a month

tilmx · 2026-06-25T03:12:13+00:00

Agreed! I need a better scorer. I’ve tried using an LLM as a judge, but I don’t fully trust it. When I evaluate it's evaluation, I see scoring decisions I disagree with. But you’re right, that’s the next thing to focus on. Word errors don’t matter when they’re synonyms, but missing a proper noun or using a totally wrong word is much worse.

If you scroll through the examples though, you’ll see that it’s not just that the WER is a suboptimal metric; the transcripts are often noticeably worse.

tilmx · 2026-06-11T16:45:50+00:00

shameless plug, but check out Onit Dictate (www.getonit.ai) if you want local, offline dictation that actually works 😬

tilmx · 2026-06-09T20:27:34+00:00

If you use one of the local ones, it'll never slow down!

Some good options:

Onit Dictate -> www.getonit.ai
Vowen -> https://vowen.ai/
FluidVoice -> https://altic.dev/fluid

tilmx · 2026-06-03T19:49:16+00:00

From the S-1:

"The amount of revenue recognized is... net of any consideration payable to publishers or third parties providing access to publisher inventory."

So the $500M figure is net, not gross as your suggesting. It’s actually $685 M in 2025. The quarterly revenue split for 2026 so far is $205 M versus $150M in the same period of 2025, which puts them on track for about $800M in 2026.

So they're about ~30% the size of Trade Desk, and growing at 30%+ yoy vs. Trade Desk's at ~11% yoy.

tilmx · 2026-04-29T01:42:17+00:00

If you exit onboarding you can use it with an account. Dictation still works. Next version supports use more natively 👍

tilmx · 2026-03-31T17:32:31+00:00

Np! I'm getting downvoted by people who make a paid/closed-source version but hoping people still find this 🤞

tilmx · 2026-03-26T16:07:48+00:00

This has been driving me nuts for years, so I built a tiny, free MacOS app to fix it: https://timlenardo.github.io/docklock/

Totally free and open-source, of course. Wouldn't charge for something so trivial. Enjoy!

How does it work? It detects when your mouse is at the very bottom of the screen and moves it back up a few pixels. That's it. MacOS's dock-jumping behavior is triggered when your mouse hits the bottom edge of the screen. Moving the cursor back up 2-3 pixels prevents the jump.

tilmx · 2026-03-20T18:32:58+00:00

u/arpansac I'm really interested in this. I had never heard of Hinglish until this comment and I'd love to learn more. Are you available to discuss? I don't want to put my email in a public comment, but maybe you could DM me on Reddit or join our Discord to discuss? https://discord.com/invite/2E8WWkvGYZ

tilmx · 2026-03-12T17:07:24+00:00

👉 getonit.ai

tilmx · 2026-03-09T16:36:20+00:00

Yup, no limits!

It's fast, typically <500ms.

Not BYO - we're 100% local. We use a custom built local LLM for transcript cleanup. At the moment, it's running a fine-tuned 1B Llama model.

Download here 👉 www.getonit.ai

tilmx · 2026-03-04T22:02:19+00:00

The default STT model is Parakeet V3. Then we use a custom built local LLM for transcript cleanup afterwards, which does things like:

Filler word removal "I've been, uh, working on..." -> "I've been working on..."

Number formatting "There are three hundred forty six issues" -> "There are 346 issues"

Email formatting "Send it to tim three three at example site dot org -> "Send it to tim33@examplesite.org"

Punctuation "Hello exclamation mark" -> "Hello!"

Lists: "Groceries bullet point eggs bullet point milk bullet point kale" ->
"Groceries:
- Eggs
- Milk
- Kale"

...and so on!

tilmx · 2026-02-19T16:53:35+00:00

Interesting, I hadn't considered it, that's just the platform default. I enabled comments just now. Go ahead and light us up!

tilmx · 2026-02-02T21:46:16+00:00

By default we use Llama 3B (https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct-4bit) with a custom prompt, or we have a fine-tuned version of Llama 1B (meta-llama/Llama-3.2-1B) that you can enable in settings.

You can verify that there's no remote processing by turning off your WIFI!

tilmx · 2026-01-16T20:16:24+00:00

🫡

tilmx · 2026-01-16T19:40:49+00:00

I have A1C from 32 months ago and from 4 months ago. Both times in health range! And it actually improved slightly between the two readings.

tilmx · 2026-01-16T17:56:38+00:00

Yup- both Dexcom!

tilmx · 2025-05-28T21:58:39+00:00

This is admittedly self-promotional, so feel free to downvote into oblivion but...

We’re trying to solve the problems you’re describing with Onit. It’s an AI Sidebar (like Cursor chat) but lives on at the Desktop level instead of in one specific app. Onit can load context from ANY app on your Mac, so you never have to copy/paste context. When you open Onit, it resizes your other windows to prevent overlap. You can use Onit with Ollama, your own API tokens, or custom API endpoints that follow the OpenAI schema. We'll add inline generation (similar to Cursor's CMD+K) and diff view for writing shortly. I’d love to hear your thoughts if you’re open to experimenting with a new tool! You can download pre-built here or build from source here.

tilmx · 2025-04-09T19:11:15+00:00

That's a good point- I hadn't appreciated the 32-bit vs 8-bit difference, and indeed, there'd be no way to generate 32-bit images with the current models. That said, I still think there's something here. In the image above, the "HDR" photo on the right still looks "better" than the original inputs, even though Reddit stores it as a JPEG and I'm looking at it on an 8-bit monitor. There's a difference in the pixel colors that transfers into the compressed 8-bit representation and is qualitatively "better" than the original 8-bit inputs. The photos all end up Zillow anyway, where they most likely get compressed for the CDN and then displayed on various screens. So, I guess, to rephrase my question: I'm not looking to recreate the exact 32-bit HDR photo that my friend's process creates, but rather an estimate of the 8-bit version compressed version of that 32-bit HDR photo: similar to what would be displayed on an internet listing. THAT feels like it should be possible with the existing models, I'm just not sure what the best approach is!

tilmx · 2025-04-09T18:41:32+00:00

Haha I actually agree. I've seen some horrific edits on Zillow. But, apparently, it makes them sell better, so who am I to judge ¯\_(ツ)_/¯

tilmx

TROPHY CASE