Peter Yang ✓
@petergyang · Get my best tutorials → · joined 23 Oct 2009
Practical AI tutorials and interviews for busy people | Get my best AI skills and guides at https://t.co/6VAA6p81x6
284 300Followers
2 231Following
29 101Posts total
1.4MViews on collected posts
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@petergyang @Muse How do you still have anywhere near 800$ a year of bills when the last 10 agents you've tried already saved you on all your subscriptions and bills xD
18.2K views · 727 likes
· 3 reposts · 36 replies
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@petergyang @Muse Peter... you're trying to date a personal agent?
2.6K views · 9 likes
· 0 reposts · 2 replies
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@petergyang @Muse I’m getting more and more impressed by it
2.4K views · 5 likes
· 0 reposts · 3 replies
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Meta's @Muse is the best personal agent I've tried to date.
It actually save me $800+ a year on my cable and phone bills, which is just insane value for a free AI agent.
Here's my new video where I walk through 10 of my favorite Muse use cases, including a personalized morning
500.6K views · 920 likes
· 70 reposts · 106 replies
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@petergyang @brilliantorg It’s much easier said than done! My kids are 5 and 3, and the urge to explain everything is real.
But so magical to see kids’ minds at work, still turning over a problem in the background, months after first talking about it.
The process of solution is
267 views · 5 likes
· 0 reposts · 1 replies
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Also available on:
Spotify:
https://t.co/BBzbApYBeN
Apple:
https://t.co/xBhMbt2o77
Newsletter:
https://t.co/kjACL2zQMO
2K views · 2 likes
· 0 reposts · 0 replies
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“Cheating and explaining the answer [to your child] are closer than you’d think.”
Here’s my new episode with @suekhim, co-founder of @brilliantorg, who showed me how AI can help kids think for themselves. We talked about:
→ Why better grades don’t always mean more learning
→ h
63.7K views · 78 likes
· 15 reposts · 17 replies
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0:35
Damn I'm running out of Fable limit already, anyone in the same boat?
2.6K views · 19 likes
· 0 reposts · 21 replies
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Product manager = Member of product staff
Designer = Member of design staff
Engineer = Member of technical staff
Is this AI making job functions more verbose? 😅
If this flattens levels and titles, I'm all for it though.
It also shows that maybe the single AI builder title
2.5K views · 14 likes
· 0 reposts · 9 replies
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Sign in with ChatGPT will be an incredible product tbh, being able to take all my context with me to random websites or apps with the right privacy controls in place.
At least it'll finally get me out of ChatGPT itself 😅
4.1K views · 32 likes
· 2 reposts · 5 replies
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Btw this skill was built by @RLanceMartin go follow him :)
Also to answer people's questions - it found obvious things that were wrong with my skills (e.g., redundancies, contradictions) beyond just optimizing for the latest model so I think everyone should run this at least
8.6K views · 7 likes
· 0 reposts · 0 replies
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@petergyang Feels like "read the privacy policy before you give an agent your data" is about to become this generation's version of "read the terms and conditions" except this time it actually matters.
324 views · 1 likes
· 0 reposts · 1 replies
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@petergyang @bot There needs to be a "verified agent" login ability or something like that so that an authorized agent task is able to get into our accounts on its own.
All these passkeys and 2FA accounts that have gotten setup over the last couple years just make it nearly impo
374 views · 7 likes
· 0 reposts · 0 replies
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@petergyang @bot The experience here will be much better soon.
21.2K views · 761 likes
· 12 reposts · 28 replies
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I am a big fan of Grok @bot, and it’s clear that other personal agents are moving toward using a persistent cloud computer.
But there’s just something that feels wrong about entering my password and authentication code into a cloud browser.
Beyond supporting more official https
101.9K views · 361 likes
· 16 reposts · 79 replies
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Also available as a free written post:
https://t.co/AdzhK2iTA8
1.6K views · 2 likes
· 0 reposts · 0 replies
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Which AI personal agent can you trust with your data?
In my new tutorial, I compared Instinct, Grok Bot, ChatGPT, and Hermes to answer:
1. What do their privacy policies actually say about how they're handling your data?
2. How safe is it to log in and complete 2FA on a cloud
106.4K views · 54 likes
· 3 reposts · 22 replies
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@petergyang please let me know how it works for you, @petergyang :) i'm still working to improve it! it's also open source:
https://t.co/wKlvKQDwJu
21.9K views · 73 likes
· 3 reposts · 3 replies
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fwiw I dislike having alot of random skills installed.
I'm at a point where I only have about a dozen or so (mostly my own) and I regularly delete skills that I don't use anymore.
Also I try to keep all my skills as short as possible.
I encourage you to do the same.
31.1K views · 97 likes
· 1 reposts · 14 replies
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If you're trying out Fable 5.1 I highly recommend running:
/claude-api prompt-audit
on your skills. It finds a bunch of redundancies and rules to remove for the latest models.
Running it for all my skills now.
465.9K views · 5K likes
· 234 reposts · 109 replies
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@petergyang @felixleezd @ADPList On @ManusAI , you can directly add figma frames too! https://t.co/WMdaW7U1Fn
564 views · 3 likes
· 0 reposts · 0 replies
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0:05
Also available on:
Spotify: https://t.co/YJbSn9eKmz
Apple: https://t.co/shNRmPP2Wb
Newsletter: https://t.co/3bvmeErlio
3.9K views · 18 likes
· 3 reposts · 0 replies
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Face aux comptes de taille comparable
21 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.
Vues médianes4 112ce compte5 983médiane pour 100K–1M
Portée, %1.45%ce compte1.49%médiane pour 100K–1M
Engagement, %0.46%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 4 112 | 5 983 | 0.69× |
| Portée (vues ÷ abonnés) | 1.45% | 1.49% | 0.97× |
| Taux d'engagement | 0.46% | 0.93% | 0.50× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3742 Sep
324
413
8.6K
4.1K
2.5K
2.6K
63.7K6 Sep
2K
267
500.6K18 Sep
2.4K
2.6K19 Sep
18.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.87%2 Sep
0.62%
1.45%
0.08%
0.97%
0.93%
1.58%
0.17%6 Sep
0.10%
2.25%
0.22%18 Sep
0.33%
0.43%19 Sep
4.21%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes44.1%8 170 in total
Reposts2.0%362 in total
Replies2.5%456 in total
Quotes0.3%54 in total
Bookmarks51.2%9 472 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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