Sid - e/acc

people call me Forgehand - I bring raw ideas to life..

[Sid - e/acc @gcs319]

Full thread from YC startup School…

@ycombinator

[conor brennan-burke @contextconor]

https://t.co/9qpEGpAwd3

[Ben Cera @Bencera]

I built Polsia into a $250M company in under 3 months.

Solo + AI. Zero employees.

Everyone asks me how I did it.

Introducing aisloP, a docu-series on how I build Polsia.

Episode 1: The Launch.

How I orchestrated the biggest Twitter launch of 2026.

[Y Combinator @ycombinator]

Bryant Chou (@bryantchou) co-founded Webflow, which today powers around 1% of all websites on the internet.

Now he's back in the current YC batch with @ployai, an AI-powered website and marketing platform that doesn't just build your site — it connects to your analytics, CRM, and search console to optimize your marketing while you sleep.

In this episode of the @LightconePod, he explains how he built Ploy to be “anti slop,” how building today compares to his first startup, and why founders with domain expertise are making a comeback.

0:45 — What Ploy Is Building
2:21 — Redesigning Old YC Startup Websites
6:01 — Better Design, Better Storytelling
7:08 — Democratizing Marketing and Growth
10:39 — Rebuilding a Website in 75 Seconds
14:04 — Your Website as a Company Brain
18:23 — Building the Anti-Slop Design Engine
21:01 — Why Bryant Came Back to the Web
24:04 — Building in a Competitive Market
27:55 — The Future of AI-Native Marketing
34:18 — Why Experienced Founders Have an Edge

[Midjourney @midjourney]

A technical dive inside our new "Midjourney Scanner"

[Garry Tan @garrytan]

You’ll never achieve anything if you are afraid of being cringe

Then again this is from someone trying to use looksmaxxing to achieve outsize return, good luck with that

[a16z @a16z]

Against all odds.

Congrats @elonmusk and @SpaceX.

[Sid - e/acc @gcs319]

Losing sleep for your goals is better than dreaming about them

[Jay Yang @Jayyanginspires]

CEO of Stripe's advice to young ambitious people:

[Rohan Paul @rohanpaul_ai]

MIT, Stanford, New York Univ, Princeton paper says AI can make people feel more efficient even when they are not actually becoming much more efficient.

that people often use AI for simple tasks because it feels like it saves time and effort, but the measured benefit is often tiny, missing, or even negative.

The biggest point is the feedback loop: once people use AI, they become more likely to use it again, even for easy tasks where doing it themselves would often be just as fast or faster.

i.e. AI dependence can grow from a mistaken feeling of convenience, not just from real productivity gains.

Across three preregistered studies with 2,691 participants, people used AI for basic arithmetic, spelling, recall, and short rewriting at higher rates than they predicted, especially on easy tasks.

They also expected AI to save 55.7 seconds on average, when the measured saving was only 7.5 seconds.

For simple work, the hidden cost is not intelligence but interface friction: writing the prompt, waiting, reading, checking, and deciding whether the answer is acceptable.

Once that loop begins, it can feel like effort has been outsourced, even when effort has only been rearranged.

Here’s the key part: the study suggests that AI use can train its own justification.

After using AI on just two tasks, participants became more likely to use it again, even when independent completion was faster.

The danger is not dramatic dependence, but quiet recalibration.

A person who asks AI for a trivial answer today may not become less capable tomorrow, but they may become less accurate at judging when their own mind is already the faster tool.

----

Paper Link – arxiv. org/abs/2605.22687

Paper Title: "The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks"

[Paul Graham @paulg]

How to Earn a Billion Dollars: https://t.co/WeWBUkKym6

[Addiiiii @mp3addi]

We’re launching Taan ai so everyone can one-shot music for their videos!

Music for this video was one-shotted on Taan. 👇🏼

Try our beta out now at taan [dot] ai

[Sid - e/acc @gcs319]

@paulg How to be topp🔥🚀

[Garry Tan @garrytan]

So proud to call @sdianahu managing partner at YC. Her ability to help founders is incredible. Our community is so lucky to have her ability, empathy, and prescience.

[Theo - t3.gg @theo]

Mythos is here. It's called Fable 5. I spent the last 24 hours spending thousands of dollars in tokens to give you a realistic breakdown.

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Sid - e/acc @gcs319]

@mp3addi Fly high @mp3addi 🚀🤘🏻

[Addiiiii @mp3addi]

We’ve been heads down prepping to do this for a while, taan ai public beta dropping tomorrow 🚀

[Sid - e/acc @gcs319]

Everyone's talking abt "Loop Eng". Here's a great expl of what it is & how it boosts output.

Simple loop u can build today:

1. Setup Claude cron - daily AM to chk code issues frm Slack/Pylon/Sentry.
2. Create Linear ticket w/ detailed expl & RCA.
3. Setup webhooks to trigger coding agent (pref https://t.co/6Kv9kBeT6Z).
4. Write instructions.md for agent(mine uses /gstack) to code+test/eval.
5. Auto open PR w/ default LLM reviewer (Opus code, Codex review).
6. Deploy to dev; get dev approval (on-demand) else prod launch.

That's it - 6 steps.

[Peter Steinberger 🦞 @steipete]

Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.

You should be designing loops that prompt your agents.

[Hubert Thieblot @hthieblot]

Just move to SF, it will change your life.

Go in debt if you have to.