Started with a web version using WebAssembly Whisper to validate the idea. Worked well enough to prove demand, but browser sandbox limits (no background recording, inconsistent model performance) pushed me to go native.

Rebuilt as an iOS/macOS app with CoreML. Apple Silicon handles Whisper-class models locally without issues, but its confined to recent devices.

I'm working on e2ee sync between web and mobile. I want to build a simplenotes but for audio transcription.

Try the web version at: https://basilai.app/app

I have launched apps focused on a new feature in the latest OS and regretted it. The # of people who have the latest OS is much smaller than the full install base for much longer than I thought. As a result, my marketing conversion was unnaturally low - people who liked the app idea but couldn't install because they had the wrong OS. This causes two problems: potential users I activated but couldn't convert and this signal gets internalized by the App Store, pushing down future impressions.

Now I always have a fallback implementation of the feature so I can target the prior OS. Both Mac and iOS.

I'm using the browser built in transcription service plus downloading a model and running it via webgpu. No login. At the end of your meeting, you get a zip file with the audio, transcript and summary.

For those that are new to him, be sure to browse to the top level (https://aesthetic.computer) and play around in the 'terminal'.

If you have a VR device, view Freaky Flowers in it.

WooCommerce should be filling the role of viable self host alternative to Shopify, but it falls short. Even with the plugin ecosystem, it is much harder to run an quality cart and checkout.

Congrats on your launch!

Has anyone done it and gotten a significant amount of money? Any tips/tricks/hacks to maximize the amount I may be able to get? Thanks!

Comments URL: https://news.ycombinator.com/item?id=37722062

Points: 1

# Comments: 0

The problem: creating unique, engaging product content is expensive and time consuming for retailers. Hiring content writers can cost $50-100 per product. Multiply that by 1000s of products and then add in constant product churn.

With uniquely tuned AI models, combined with a retailers raw product data, I can generate content that improves the buyer's experience and leads to:

- higher conversions

- improved SEO

- standing out from competitors

The app includes:

- the unique LL models

- pipelines to connect to the retailer's catalog

- a feedback mechanism to monitor the products (add to cart, conversions, on page time, etc) and test new content

I did pilot with a large wine retailer. We generated nearly 4,000 product descriptions and saw a near immediate increase in on page time and conversions. It is 90 days out we are now seeing an SEO gain too.

https://intro.wtf

Comments URL: https://news.ycombinator.com/item?id=28011140

Points: 1

# Comments: 0

I have been toying with using github actions to automate the pull. My workflow would be something like:

1. work locally on a branch 2. test, merge with master 3. git push from local to github 4. a github action would see the commit to master and initiate a git pull on my server.

Something like this: https://stackoverflow.com/questions/61447350/automatically-p...

What are the advantages to using polybox or piku?

I built one (https://cutt.co). Here is an open source one: https://github.com/iam-abbas/Reddit-Stock-Trends

We should all get together and build one to rule them all.

My thoughts on this: The real question is whether tracking trends on reddit/twitter can reveal a coming price swing BEFORE it happens. AND, you have to have minimal/no false positives.

I have had some success generating alerts before the swings occur (https://cutt.co/track-record/) but still am working on sorting wheat from chaff.

I have taken a slightly different tactic than you. I am trying to surface actionable trade ideas from the social media mentions. Can I predict a stocks price trend from social media discussion?

I think that takes two forms:

1. Real-time alerts to stocks that are moving outside their normal 'mention' bands. Most times social media discussion of a stock is following public news. For example, a company releases earnings and the social media discussion is about those earnings. In that case, the 'mentions' rate will always trail the actual news. But, in some cases, an increase in mention rate is preceding price changes that day -- I am detecting that in real-time (sometimes, so far).

2. Over a long time (months, years) a company's social media mention rate will go up or down. A long-term trend (either positive or negative) could say something about the long-term financial prospects of the company. That could be tradable.

I would like to sell the library. It could be a saas but it would really run so much better as a local library/include.

How do I sell a library/plug-in and prevent my code from showing up for free? Has anyone used a commercial licensing solution? Does anything work, or do I need to model in a certain amount of theft?

Comments URL: https://news.ycombinator.com/item?id=25037013

Points: 1

# Comments: 3

I am trying to build a small web app using repl.it as my dev environment and deploy on google app engine. The stack is flask/mysql/html5/bootstrap.

I have a workflow where I can commit to a dev branch inside repl.it, push to github and them merge to master. If merge is no-conflict, it uses github actions to deploy to google app engine.

There are trade offs, but I am really enjoying the ability to just start coding by opening a browser and having my full dev environment in a tab. Really fun!

I have been working on something similar at https://argyle.cc -- we combine cloud analytics with a self-hosted analytics collector js. That gives you the best of both worlds: privacy focused, user respecting analytics, but full featured reporting in the cloud and ad-blocker resistance. It also allows event tracking to be done over js/web or in-line/server side.

    body { padding: 0; margin: 0; width: 100%; -webkit-text-size-adjust: none; }

I suspect this property is causing accessibility problems for many users with poor or declining eyesight.

Is there a reason to include this property, beyond just to ensure consistent design?

I respectfully request that you remove the -webkit-text-size-adjust property entirely.

Comments URL: https://news.ycombinator.com/item?id=24111588

Points: 1

# Comments: 2

Why? My 'right' ideas are often ignored by family and colleagues. Later, those same people will put the same ideas into practice after hearing them from another source.

At first I thought it was my audiences fault: they were failing to pay attention; that my ideas were too early to be recognized as right; or even that the repetition of the idea was required to be seen as right.

Gradually, I realized I am not being persuasive when I present my ideas. I went on a search for ways I could improve my persuasiveness in 1:1 communication.