ADITYA DUTT PANDEY

@abhishekbariyaa Chrome thoda jaada wala hai

Tum dono ki mkc

The AI bubble might burst soon as model costs continue to rise, with new plans from @claudeai and @OpenAI serving as evidence. 📉 #AI #Models #Costs

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@CommandCodeAI @claudeai Absolutely! 👍

@adp_alpha @claudeai you bet!!

$100 @claudeai 5x plan <<< $30 at @CommandCodeAI + $20 @claudeai

@droidbuilds same energy

MrBeast plans to lock 1000 vibe coders in a room with no Claude, no Codex, and no Cursor subscription. first person to ship anything using Meta AI takes home $1 million 😭

@dkare1009 nah sounds like a scam

Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch. This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for. Data + architecture + scaling laws + post-training. Bookmark it & watch today.

Investors on X - - Pitch your startup in 1 word - Drop link to your startup - Writing Pre-Seed checks, pitch your startup in comment What did I miss?

Redis 8.8 is out 👏👏 New features worth checking out: → Arrays: fast indexed access, sparse-friendly, ring-buffer capable → INCREX: native rate limiter support → XNACK: explicitly release stream messages → Hash subkey notifications → Time series multi-aggregators → Sorted set COUNT aggregation redis.io/blog/announcin…

@nikitabase nah just use postgres

There is a new era of data tech that is effectively "__ on object storage": Turbopuffer is "vector search on object storage" Warpstream is "kafka on object storage" Neon is "Postgres on Object Storage" or “Postgres on S3”. It doesn’t mean that every read and write goes directly to S3. That would be incredibly slow. I’m saying that a Postgres database in the "Postgres on object storage" category can be faster than one in the "Postgres on a cluster of servers with NVMe disks" category. No one is claiming that S3 is faster than NVMe but Postgres on S3 (with low latency storage in between) can be faster than Postgres running on NVMe with HA on. HA is important here, without HA you don’t do durable writes so it would be an unfair comparison. While neon runs on s3, calls into s3 are almost never on the transaction reads or writes. Writes are sent into a consensus service and streamed into s3 asynchronously. So the claim can be expanded to Postgres running on a disaggregated storage which implements low latency tier on top of s3 is faster then Postgres with HA running on NVMe. We are not the only ones making this claim. For example AWS Aurora says "Aurora has 5x the throughput of MySQL and 3x of PostgreSQL with full PostgreSQL and MySQL compatibility." So why does disaggregating compute allow for higher throughput on Postgres and potentially lower latency as well? The reason is that we can offload a number of CPU and IO operations down to storage. We just published a blog post on how we can turn off full page writes which dramatically reduces WAL volume and saves on CPU cycles on the Postgres node. In many scenarios this may be a wash because for many workloads you might not be write throughout bound and therefore Postgres checkpoints and full page writes don’t impact overall throughput. However this is general purpose enough to impact a large swath of workloads. It’s also important to mention that scaling write throughput is more important since Postgres is a single write system and you can’t scale writes with read replicas. So is Postgres on S3 faster than Postgres on NVMe? We believe it can and will be. Postgres with disaggregated storage and several kernel performance optimizations has higher throughput than stock Postgres on NVMe with HA implemented via sync replication. We'll share more including latency impact as we gather insights after rollout. Lots of things to learn here if saving CPU on full page writes can have a material impact on latency under high throughput. The idea is that if CPU is all used up, freeing up some CPU will impact both latency and throughput - but we'll see! The statement is indeed provocative, but far from “shock value marketing” as some of the responses claim.

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@Mnilax built different fr

anthropic just shipped dynamic workflows: claude writes its own orchestration script and runs 10s-100s of subagents to crack one hard task. the demo shows what it does. it doesn't show you how the thing is actually built. so i took it apart. the 6 patterns and 14 steps anthropic's own engineers use to write these workflows by hand. a workflow is claude writing a custom harness for your task. it exists because one context window breaks on long, parallel, or adversarial work: agentic laziness, self-preference, goal drift. the 6 patterns map straight to those failures. fan-out for drift. adversarial verification for self-preference. loop-until-done for open-ended work. tournament when scoring is unreliable. the same shape rewrote bun from zig to rust, 750k lines, test suite green. full teardown in the article: the core API, all 6 patterns, and the 14 steps to build one yourself.

@NikhilKagita_ @X @lpuuniversity We use different channels, including social media, but our data shows direct team pitches to groups drove the most sales. We walk the host through every distribution detail while tailoring the approach to their needs and previous records so they get their requirements.

@adp_alpha @X @lpuuniversity once you created an event, you shared it across on all the social media platforms?

Looking to connect with people on @X ! If you're a founder, builder, into tech, AI, Startups, Design, mobile dev, web dev, SaaS, or programming say Hi or drop what you're working on #connect

@SynapticaTech @SumitM_X nah postgres wins

Tech Lead tells in the meeting: "Whenever the database seems to be a bottleneck. It means its time to move to NoSQL." As a team whats your response ?

The bugs fought hard. We fought harder. 85,000+ teams applied. Only 100 made it through. Excited to share that our team has been selected among the Top 100 teams in the Google Solution Challenge 2026 – Build with AI Built. Submitted. Selected. 🔥 #GoogleSolutionChallenge #AI

@kushmergedeck adpandey.com

looking to connect people on X if you're into - building SaaS - vibe coding - AI tools - shipping in public - developer - figuring it out as you go say Hi or drop what you're working on looking to follow active ones 👋

@jamesqquick no shot that's real

OpenAI just launched a Codex plugin called Sites that allows you to build and host a website from a prompt. Much more to come!

@SkerdiDev nah fr, no shot

I’m looking to connect with people interested in: • Frontend • Backend • Full-stack • DevOps • AI / ML • Data Science • UI / UX • SaaS • Freelancing • Founders Say hi, let’s connect and grow together 🚀

Anthropic just shared their best programming tips Most AI coding tools index your entire codebase before they can help you Claude Code doesn't. and that's exactly why it's better an Anthropic engineer who became their top internal Claude Code user just explained how it actually works under the hood the developers who get the most out of Claude Code aren't the ones who prompt better they're the ones who stopped over-explaining and let the agent explore FULL BREAKDOWN BELOW the clearest explanation of how Claude Code actually works from someone who built it👇

@Horseshoeb50811 @milesdeutscher no shot that's real

@milesdeutscher Workflow is a feature, biggest leverage gain for me recently is having Claude manage Claude.

Anthropic just shipped the most powerful Claude feature. This just went under 99% of people's noses. Dynamic workflows are here, and they're extremely powerful. Master them and your Claude productivity will go through the roof: