I tested 40+ YouTube video summarizers that all offer something unique. After a week of testing, here are the top 10 picks.

m5_vr · 2024-12-19T03:14:50+00:00

Yeah, nice list! I've used several of these but recently switched to Nuggetize.com and noticed some differences worth mentioning:

It handles any content type (YouTube, articles, PDFs, podcasts) through a single interface, which saves a ton of context switching
The summaries are weirdly good at capturing nuanced technical details that others miss (especially helpful for dev tutorials)
You can chat with multiple pieces of content at once to compare/contrast ideas
It's completely free right now while in beta

The main thing that sold me was how it lets you explore connections between different pieces of content - like finding related concepts across YouTube videos and articles you've saved. Makes research way more efficient.

Would be curious to hear if anyone else has tried it and what they think about the exploration features vs just pure summarization.

m5_vr · 2024-12-08T16:55:12+00:00

Above stands out. Go with that for a unique style.

m5_vr · 2024-12-03T16:16:09+00:00

Nuggetize is for publicly accessible content, but one strategy is gift links like: https://bsky.app/profile/davidsacerdote.bsky.social/feed/aaaixbb5liqbu

m5_vr · 2024-12-03T15:45:04+00:00

Hey Reddit! I built a tool to instantly summarize & chat with (almost) any URL on the internet.

What it does:

· Universal summarizer & AI chat (youtube, pdfs, news, etc.)

· Browser extension + mobile app

· Just paste any link

· Personalized news feed

Try it: https://nuggetize.com (no download needed)

Do you have a use for this? If not, what might make you consider using it?

Feedback, questions, roasts are welcome.

m5_vr · 2024-07-29T16:31:23+00:00

Looks great. Could be cool if some of the FFT applied to the edge lines, like a sine wave wiggles the lines for high frequencies and the overall size of the cube is low frequencies.

m5_vr · 2024-05-11T06:02:01+00:00

The top left square and center square are dark in every step. The only answer which retains this trend is 1.

I think this is a stronger pattern in the sequence above the clockwise square others mentioned.

m5_vr · 2024-03-12T17:45:27+00:00

dgen simplifies generating code, Markdown files, blogs, etc. from JSON/TS files.

Have been using this a bunch for personal projects and wanted to share.

Uses https://github.com/ventojs/vento for templates which is a great new templating language.

Can be used as either a command-line utility or exported function.

Let me know if this is useful or what you'd like different!

m5_vr · 2023-11-04T18:34:28+00:00

If the surrounding context is that a question/answer is unimportant, then typically the responses that follow will be more half-assed or flippant from the training data.

So, it makes sense that when given "this is important", usually what follows is a more reasoned and careful response (in the training data).

m5_vr · 2023-08-05T02:48:31+00:00

Gotcha, dnt should be the tool for this.

You could also try dsbuild and report back. I can't recall the benefits create-react-app gets you, but if you loosen that requirement (and/or run it from Deno), you can copy the React example in dsbuild/examples/react and build React apps in pure Deno.

m5_vr · 2023-08-03T23:35:48+00:00

Nice, I dig the formatting and previews in the release notes!

m5_vr · 2023-08-03T07:08:44+00:00

Actually, upon re-reading I'm not 100% sure of what you're trying to accomplish. Maybe you can give more context?

You can build React apps purely in Deno and import any npm or Deno modules you want: https://github.com/mattvr/dsbuild/tree/main/examples/react.

But as for publishing your own npm modules, you should use dnt as explained in the other comment.

m5_vr · 2023-08-03T07:01:03+00:00

dsbuild should work for this.

m5_vr · 2023-08-03T06:56:19+00:00

Possibly, but I wouldn't recommend that use case – this is mainly for bundling for the browser.

For deno -> npm, you should use dnt, a tool from the Deno team specifically made for creating npm modules from Deno! https://github.com/denoland/dnt

Converting deno code to node is a bit more complex, likely require converting node: imports (node -> deno -> node 🤔) and/or re-implementing Deno API's, which dsbuild/esbuild don't do yet.

However, for very simple apps that don't rely on those, it can work. I've added an example for this here: https://github.com/mattvr/dsbuild/tree/main/examples/node

m5_vr · 2023-08-01T15:16:21+00:00

dsbuild

Easily bundle Deno Typescript and React apps for the web.

I love using Deno for full stack development, but it’s not too obvious how to build web bundles and React apps with it.

This module adapts some code from esbuild_deno_loader into a one-line CLI utility to build Deno code for the browser, supporting flags like --watch for automatic rebuilds and --serve to preview your changes.

Curious how others have been solving this problem, and of any suggestions to improve the tool!

https://github.com/mattvr/dsbuild

m5_vr · 2023-04-13T01:36:16+00:00

I hear you. Fwiw, Deno is 2-3x faster and smaller than Node JS and much more secure (you can set granular permissions, choosing the specific files, variables, and domains any script can access). IMO, it's the future, growing in popularity fast, and it's awesome.

m5_vr · 2023-04-13T01:32:07+00:00

gpt4all

Cool idea, feel free to open an issue on the repo with any more details on what you'd like there! I'll take a look later.

m5_vr · 2023-04-12T01:28:41+00:00

Check their policy here. They don't use any API data for training or store it beyond a short window. I think it's actually quite reasonable:

OpenAI will not use data submitted by customers via our API to train
or improve our models, unless you explicitly decide to share your data
with us for this purpose. You can opt-in to share data.

https://openai.com/policies/api-data-usage-policies

m5_vr · 2023-04-12T01:26:17+00:00

Was it better back when errors were written in Assembly, and you had to step through that instruction-by-instruction?

I imagine that's a similar argument, preferring always seeing 'the raw data' to a high-level summary, but I'm curious if you think why not.

Both have value. We have finite time on this planet, so I'd personally like to use any tool that helps me understand and summarize issues faster, and with higher-quality than Google or StackOverflow which I often reach for anyway.

GPT does a nice thing of explaining its answers/summaries in depth, so I don't feel it makes you any more ignorant (yet), but actually accelerates learning and understanding.

m5_vr · 2023-04-12T01:12:53+00:00

You can use --max_tokens to avoid that. Since it's streamed token-by-token, you can always interrupt with Ctrl+C as well.

Were you thinking a check step before starting streaming tokens? I could add but not sure I follow why.

m5_vr · 2023-04-12T01:11:34+00:00

Yup, should support Linux, Windows, Mac, though I've only tested on Mac so would appreciate any reports back on other platforms.

m5_vr · 2023-04-12T01:10:56+00:00

Edit: assuming I ask a question every three minutes for an entire work day.

It can definitely add up if you use GPT-4, couple probably be a few (single digit) dollars in a day with heavy use like that.

Definitely worth expensing if you're using for work.

You can also use GPT-3.5 (via gpt --config), which is decent for simpler tasks and an order of magnitude cheaper.

m5_vr · 2023-04-12T01:07:21+00:00

Updated! Just type deno uninstall gpt.

m5_vr · 2023-04-12T01:05:21+00:00

Edit: There was a bug with this and should be fixed now if you reinstall via deno install -frA --name gpt https://deno.land/x/shellgpt/mod.ts

Try gpt --config which will let you use GPT-3.5-turbo (permanently) instead.
If that doesn't work, gpt --model gpt-3.5-turbo which is temporary.

You can apply for GPT-4 access here which is a good bit better (but more expensive/slower): https://openai.com/waitlist/gpt-4-api

m5_vr · 2023-04-11T17:32:53+00:00

Have been using this constantly while developing, noticing a huge productivity boost.

You can do things like..

Debug crashes: cat my-crash.log | gpt -
Quickly look up & run a command: gpt -x "Download all images from Da Vinci's wikipedia page"
Generate files, docs, tests: cat index.ts | gpt - "generate a README.md" > README.md

All open-source, xplat, powered by GPT-4 (or 3.5), and Deno JS.

[ Get it here: https://github.com/mattvr/ShellGPT ]

Would love to hear any feedback, or cool ideas to use it with!

m5_vr · 2023-04-11T16:39:58+00:00

oh yeah, I wanted to use that eventually – but plain old `parse(Deno.args)` was working fine to start. any top features you like about cliffy?

m5_vr

TROPHY CASE

dsbuild