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Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

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Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#121

Post by jrvieira »

yaseer wrote: post #110
Lionga wrote: post #95

Earlier quoted context omitted.

"Logo play" is such a YCombinator word for Lie.

It says "Our users are everywhere" and shows some logos for the companies these users are from. If the users are from those companies, this is not lying. If they added logos for companies their users are not from, it would be lying. Adding a logo to your webpage has started to follow different patterns for the stage of the company. Early stage companies show things like "people at X, Y, Z use our product!" (showing l…

I feel like everyone already understands that argument and it won't convince anyone that it's any less of a lie.

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#122

Post by addandsubtract »

weego wrote: post #113
yaseer wrote: post #110

Earlier quoted context omitted.

It says "Our users are everywhere" and shows some logos for the companies these users are from. If the users are from those companies, this is not lying. If they added logos for companies their users are not from, it would be lying. Adding a logo to your webpage has started to follow different patterns for the stage of the company. Early stage companies show things like "people at X, Y, Z use our product!" (showing l…

There's a lot of heavy lifting in the idea that someone who tried it / used it of their own volition that happens to work for, say Google, is the same as indicating that your product is "used by Google". It's a lie of accuracy, but still a lie.

The customer used a Gmail address!

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#123

Post by herval »

itsalotoffun wrote: post #91

I'm always amazed at these relatively tiny projects that "launch" with a "customers" list that reads like they've spent 10 years doing hard outbound enterprise sales: Google, Intel, Apple, Amazon, Deloitte, IBM, Ford, Meta, Uber, Tencent, etc.

We’re firmly in a world where “cheat on everything” is an acceptable business, startups that were hacked together in a week at YC claim they have SOC2 and vibecoded GPT wrappers claim they “trained a model”. Shameless lying took over tech, and if anyone catches you lying, you double down, make a scene and a bunch of podcasts will talk about you. Free advertising!

Of course, dishonesty is as old as time, but these last couple of years have been hard to watch…

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#124

Post by mijoharas »

yujonglee wrote: post #15
marcofiset wrote: post #12

The only issue I have with those tools, and I have not seen a single one even acknowledge this, is that it becomes completely useless when holding meetings in a hybrid fashion where some people are remote and others are in the office with a shared mic. Almost all of our meetings are hybrid in this way, and it's a real pain having almost half of the meeting be identified as a single individual talking because the mic…

It can be solved with speaker segmentation/embedding models, although it is not perfect. One thing we do with Hyprnote is that we have a Descript-like transcript editor that allows you to easily edit/assign speakers. Once we integrate a speaker diarization model with that, I think we'll be in good shape. If you are interested, you can join our Discord and follow updates. :) https://hyprnote.com/discord

Oh awesome, I was reading through to see about whether it had speaker diarization (why I got rid of my whisper script I use).

I'll look forward to the Linux version.

Is there any chance of a headless mode? (I.e. start, and write transcript to stdout with some light speaker diarization markup. e.g. "Speaker1: text")

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#126

Post by AlexErrant »

I'm building a voice-controlled app, so it requires transcription. The problem is that the app talks back, so some amount of AEC is needed. It looks like your "generic" AEC is ML powered, but your planned platform specific AEC may use non-ML tech (i.e. looks like you're considering Windows/Mac specific APIs). Have you had a bad experience with AI powered AEC?

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#127

Post by Aurornis »

itsalotoffun wrote: post #91

I'm always amazed at these relatively tiny projects that "launch" with a "customers" list that reads like they've spent 10 years doing hard outbound enterprise sales: Google, Intel, Apple, Amazon, Deloitte, IBM, Ford, Meta, Uber, Tencent, etc.

This one is especially bad because I doubt all of those companies allow employees to install unapproved software that records meetings and uses so many 3rd party APIs

The social proof logo list is an old scheme on the growth hacking checklist. There was a time when it was supposed to mean the company had purchased the software. Now it just means they knew someone who worked at those companies who said they’d check it out.

At this point, when I visit a small product’s landing page and see the logo list the first thing I think of is that they’re small and desperate to convince me they’re not.

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#128

Post by Aurornis »

yaseer wrote: post #110
Lionga wrote: post #95

Earlier quoted context omitted.

"Logo play" is such a YCombinator word for Lie.

It says "Our users are everywhere" and shows some logos for the companies these users are from. If the users are from those companies, this is not lying. If they added logos for companies their users are not from, it would be lying. Adding a logo to your webpage has started to follow different patterns for the stage of the company. Early stage companies show things like "people at X, Y, Z use our product!" (showing l…

> If the users are from those companies, this is not lying.

Do you really believe all of those companies allow employees to install pre-release software on their computers which records company meetings and interacts with a long list of 3rd party APIs? I doubt it.

They could have had people who are employed by these companies use it on their personal computers for some purpose, but the implication they’re trying to make is that those companies have chosen this software. That’s a lie.

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#129

Post by Aurornis »

abxyz wrote: post #109
petesergeant wrote: post #107

Earlier quoted context omitted.

> we did some logo plays Help me understand what this means

The most honest version is the company is paying for the tool. The most stretched version I’ve seen is a former employee of a company uses the tool in a personal capacity. Most commonly for newly launched things it means someone with an @company email has tried the tool (even if they didn’t pay). You could, for example, set up a waitlist and then let anyone with a logo-worthy email in.

> Most commonly for newly launched things it means someone with an @company email has tried the tool (even if they didn’t pay)

The current growth hacking play is to have people look through their personal network to find friends who work at those companies, then to have those friends say they’ll try the software

So it’s unlikely not even organic signups. It’s being pushed to friends and friends-of-friends who are unknowingly being used for their company affiliation.

Re: Launch HN: Hyprnote (YC S25) – An open-source AI meeting notetaker

#130

Post by Aurornis »

yonl wrote: post #9

Congrats on the launch. I never understood why an AI meeting notetaker needed sota LLMs and subscriptions (talking about literally all the other notetakers) - thanks for making it local first. I use a locally patched up whisperx + qwen3:1.7 + nomic embed (ofcourse with a swift script that picks up the audio buffer from microphone) and it works just fine. Rarely i create next steps / sop from the transcript - i use ge…

> I never understood why an AI meeting notetaker needed sota LLMs and subscriptions

I’m the opposite: If something is expected to accurately summarize business content, I want to use the best possible model for it.

The difference between a quantized local model that can run on the average laptop and the latest models from Anthropic, Google, or OpenAI is still very significant.

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