doppkan

web3 geek | researcher | devops

[Bhavyam Arora @AroraBhavyam]

Just 2 weeks left to apply for YC W27. (Deadline: Nov 2)
Here are all the top platform credits you get if you are selected 👇

AI & cloud
- @OpenAI: $500K credits, no equity
- @AnthropicAI: $500K credits, no equity
- @awscloud: up to $500K
- @googlecloud: up to $350K
- @Cloudflare: up to $60K + 1 year free
- @Azure: credits on top

Money
- @stripe: up to $10K in rewards
- @rhobusiness: up to $10K + a free Delaware C-corp
- @mercury: free 409A

"Follow @arorabhavyam for weekly content around founders, startups and AI! 🫡"

Tools
- @GustoHQ: 12 months free payroll
- @NotionHQ: 12 months free + Notion AI
- @HubSpot: up to 90% off year one
- @webflow: 12 months free CMS
- @TrustVanta: YC-only SOC 2 pricing

Dev & AI infra
- @livekit: $100K credits
- @posthog: $50K credits every year
- @fal: up to $50K GPU credits
- @resend: $25K credits
- @ClickHouseDB: $10K credits
- @firecrawl: 5x credits for a year
- @clerk: 1 year free
- @capydotai: $1K credits

Do you still need a better motivation?

[Mrinal @Hi_Mrinal]

a cool old read on ai infra by pinterest engineering

learned a lot on integrating ray into the infrastructure and optimizing whole web scale around it

https://t.co/Q2HGQ1CQXN

[Ahmed Elemam @ahmdelemam]

إعلان غير مدفوع: أنا جربت @CommandCodeAI goat plan ب 10 دولار بس و بستخدم موديل deepseek/deepseek-v4.1-flash
و ال quota مش بتخلص فمش عارف عالمينها إزاي بس شغل عالمي من @MrAhmadAwais و شكراً لدكتور حاتم ع الترشيح @hatem_hosny_

[Ivan Maltsev @ivan_nomadz]

5 programs for founders still accepting applications.

1) Pear VC Accelerator | by @pearvc

- 1:1 mentorship sessions
- Up to $2M in investment
- $1M+ in credits from top providers
- Application deadline: October 4
- Apply here: https://t.co/NjjlerDSj8

2) Alpha Speedrun | by @speedrun

- $250K in investment
- $1M+ in credits from top providers
- Fast-track to @speedrun's next cohort
- Application deadline: October 11
- Apply here: https://t.co/cLxpYSXLMn

3) Y Combinator Accelerator | by @ycombinator

- $500K in funding
- $12M+ in free credits
- Demo Day with top investors
- Application deadline: November 2
- Apply here: https://t.co/F5z57hsBxx

4) Alliance Accelerator | by @alliance

- $400K for each team
- Demo Day in NYC with top VCs
- Join an exclusive founder community
- Application deadline: November 18
- Apply here: https://t.co/n52rq5uhG6

5) Techstars Accelerator | by @Techstars

- $220K in investment
- $4M+ in perks
- Fundraising support
- Application deadline: November 18
- Apply here: https://t.co/DQj4ueg0hz
___________________

Follow me for more founder programs and opportunities - @ivan_nomadz.

I’m the co-founder of @NOMADZxyz - a community-driven travel aggregator with 1M+ stays, 300+ airlines, crypto payments and rewards.

Get $100 in Travel Points for your first bookings - https://t.co/AXNSDiwasg

[Ayaan 🐧 @twtayaan]

This is the only site you need to practice DevOps and DevSecOps.

It has 350+ free hands-on labs for Linux, Ansible, Terraform, Kubernetes and GitHub Actions, with your work tested directly on a real machine.

https://t.co/Tj8O7w9RmY

[Bence Redmond @BenceRedmond]

this is what you're shown on day 1 of YC.

don't be scared of launching early.

[Raul Junco @RaulJuncoV]

It was about time someone connected system design to LLMs in a practical way.

Most material around LLMs still focuses on prompts and model choice.

And that will help you with your POC, but production forces you to deal with latency, cost, failures, security, and unpredictable outputs.

This book treats LLMs as what they are: an expensive, slow, non-deterministic dependency that can fail in strange ways.

If you want to take this dependency to production, you need to apply real engineering discipline around it: gateways, circuit breakers, caching, model routing, evaluation, retrieval pipelines, observability, and human review.

This book is full of case studies, and they are the best way to connect the dots.

The adaptive learning platform, for example, generates content offline, puts it through human review, and prepares personalized lessons before the user needs them. It separates the hot and cold paths and keeps LLMs away from the critical request path whenever possible.

It puts the focus where I think it belongs: the system around the model.

You can use my code SDL30 for 30% off at:

https://t.co/ejgL6Fl2bB
or
https://t.co/fMknOkwZou

[Moustafa A Mahmoud @_MoustafaM]

مبسوط إن OpenFGA بدأت تنتشر كنت حاسس اني الوحيد اللي بستخدمها. الشركة ديه المفروض يدوني نسبة من الارباح. آخر تلت شركات (تيمز) اشتغلت فيهم خلتهم يستخدموها وكلهم كانوا مبسوطين (عارف ان high scale) ساعات بيبقى محتاجة تظبيط بس بدل لما تبني من الاول

[stanxbt @standotsui]

pivot to one of these

thank me later

[Jay @ LegalOS @jaykhan]

YC S26 Batch By The Numbers

Companies → 261
Founders → 534
International Founders → 48.6%
Countries → 47
Repeat YC Founders → 24

Top Origins:

India → 41
UK → 36
Canada → 35
China → 18
Turkey → 11

Top Past Employers:

Amazon → 27
Microsoft → 15
Meta → 13
Google → 10
Apple → 10

[AbdulRhman Al7sn @Abdou7sn]

أول حاجه درستها في الMCP (Model Context Protocol) هي الMCP Client.

طب إيه هو الـMCP Client؟
وإزاي بيخلي Claude يقدر يتعامل مع Tools وخدمات خارجية؟

يلا نبدأ 👇

[Compounding Dividends @CompoundingW]

Want to learn more, get this guide how to read Financial Statements

https://t.co/X0s3jucSkT

[Sam Gao @samuel_ys92]

Huge congrats! Wenjia!

[Viv @Vtrivedy10]

Jev-as-a-judge🤝 RL Environment Verifiers 🤝 way cheaper + faster RL

a lot of things in Agent World look like classification problems…including grading RL

- many RL Tasks need a judge to verify pieces of outputs or trajectories
- at scale this can be very expensive and slow with tons of rollouts to score
- Jev is incredibly fast and cheap meaning, can potentially remove the verification bottleneck for many tasks

we previously worked with @harvey on their LAB benchmark which used LLM-as-Judge for tens of criteria per task

we found that Harness/Prompt Engineering + Open Models meant we could judge tasks orders of magnitude cheaper

like any verifier, it needs to be calibrated to make you’re giving back a good signal

but Jev has the opportunity to massively bring down verification costs (and tuning friction) for many tasks

which means more teams will do RL, which is great!

[Mohamed @egypt1standlast]

اكتر جمله تسمعها و انت شغال في جولدمان ساكس

Don't ask for permission. Ask for forgiveness.

تقريباً تسمعها كل يوم هناك

[oAshour; @AshourOps]

خلصت LSM-tree key-value store built from scratch بـ Rust.

دخلت فيه أكتر في database internals: WAL و crash recovery، SSTables، Bloom filters، compaction، وكمان الـ concurrency بين الـ reads/writes والـ background compaction.

تفاصيل أكتر والـ benchmarks:

https://t.co/2jMi2jdu3a

[CyberA @CyberA94]

منصة CymBytes تقدم Free Lab وكلاسات مباشرة ، وتتيح تحقيقات واقعية باستخدام Splunk logs. يستطيع المستخدم ان يحلل الهجمات بنفسه مع شرح الخطوات. وهذا يعطي تجربة قريبة من بيئة العمل الفعلية .

https://t.co/r64lDG3cV5

#الأمن_السيبراني

[Thais Castello Branco @thaiscbranco_]

join us if you want to end AI slop!

https://t.co/ak0a1NgPa6

[ℏεsam @Hesamation]

Wafer just dropped an AI performance engineering repo that covers:
> GPU fundamentals & CUDA
> kernel optimization
> FlashAttention
> KV caching, quantization
> NVIDIA, AMD & TPU architectures
and all resources link to solid docs, papers, and repos.

[TensorTonic @TensorTonic]

the best way to learn inference is by implementing it yourself

https://t.co/rwSSNnQe4I