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Manav
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Manav
@radioac7iv
22, backend engineer // building @usesendin
India Katılım Temmuz 2022
345 Takip Edilen107 Takipçiler

Stack: Next.js · Supabase · Cloudflare R2 · Resend · Razorpay
Live Link: tempfs.0xradioactiv.xyz
Link to the repo: github.com/0xRadioAc7iv/t…
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Going through a tough time. Actively looking for work.
Last 6 months:
→ Merged PRs in @better_auth @appwrite @mintlify @umami_software
→ 150+ GitHub stars, 4K+ npm downloads
→ Shipped 10+ products app
Frontend & Product Engineer. 3+ yrs. Available now.
DM or retweet. 🙏

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i've been reading agave's source code for a few weeks and have now started building toy versions of different components for fun with gossip being the first.
it has:
- bloom filter with fnv hashing
- crds table with conflict-free timestamp resolution
- gossip protocol messages over udp
- multi-node convergence across gossip rounds
i might also come up with @solana 's own version of "build your own x" lol
link to the repo below:

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and with that, i'm now open to work.
remote only. internship, contract, part-time, or paid trial. anything works.
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about me:
18. first-year CS student. got into systems and infra in october 2025. haven't stopped since.
primary languages: Rust and Go. C/Python/TS when needed.
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things i've built:
Rust:
> Arbx: autonomous MEV arbitrage engine. 186 tests, 17ns AMM calculation, $31 mainnet budget. launching april 2026
> Shadow Index: Reth ExEx Ethereum indexer. 4.08ms latency, 71k tx/sec (dm'd by @gakonst after this post)
> Mempool Sniper: event-driven Ethereum mempool monitor. <500ms detection latency
> Rusty Redis: Redis clone. 1.4M+ ops/sec
> Merkle Trie: Ethereum MPT implementation. O(1) state verification
> Cold CLI: HD wallet generator. zeroizes RAM on drop
Go:
> Orion: distributed container orchestrator. self-healing cluster in under 2 seconds
> Aether: distributed SQL database. Raft consensus, Postgres wire protocol
> CrisisMesh: offline-first mesh network. guaranteed delivery during partitions
> VelocityCache: remote build cache. 231x faster than Turborepo (at local cache restoration)
> Prism: serverless, instant database branching under 300ms for any PostgreSQL
C:
> lithos: LSM-tree storage engine. 72k+ writes/sec, 97k+ reads/sec. MVCC.
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open source (merged):
> token-2022 (Solana)
> anchor (Solana, approved)
> CometBFT (3 merged, 3 open)
> cosmos-sdk
> Gaia
> Sovereign SDK
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wrote 4 technical deep dives. MEV, Ethereum Merkle Trie, Redis, and LSM-trees.
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looking for:
systems, protocol, or blockchain infra. backend works too.
Rust or Go. remote only.
not looking for:
frontend, full-stack, anything off the metal.
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DMs are open or mail at bit2swaz@gmail.com
github: github.com/bit2swaz
portfolio: bit2swaz.vercel.app
blog: bit2swaz.vercel.app/blog
aditya.@bit2swaz
i wrote the only MEV guide youll ever need. covers everything from first principles: > what a blockchain actually is > how DeFi markets create price gaps > why flash loans are structural edge and SO much more. link in replies :)
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was reading about amazon's S3 bucket and object storages
so i built frusta , my S3 styled manual chunk upload engine
- out of order+ parallel chunk acceptance
- resume and stream fail logic for chunk uploads
- idempotent file writes/db writes
- atomic renaming from temp to final folder (check docs)
- merge failure handling
- node pipelines for reqStream,writeStream and merge w backpressure-safe transfer
- explicit upload states (init/uploading/completing/completed/failed)
- feature based scalable architecture and middlewares
- also learnt about testing (23+6) and benchmarks (k6) along the go
[repo link in comments]

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@radioac7iv right?? it's like sigh of relief, just louder lmao
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this keyboard was too good not to build a typing test. sounds, haptics, and all. go try and show me how well you score
type.faru.sh
Hardik@coleHardik
Damn! my brother just cooked this🤯(Desktop only) keyb.vercel.app
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@farhatkadiwala_ @vrajdesai78 Well written! been struggling with this for a few weeks now and still have no idea lol but excited for what comes next
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I built my own graphics library and got a whole map of my city onto a device with only 64kb of free RAM using my own rendering method written entirely in C & assembly, and a converter that take GeoJSON files and compresses them - this one went from 5mb to 34kb in my proprietary binary format, uses linedraw vector rendering to keep the entire memory buffer at only 8kb of RAM whilst tiling larger maps
In short
Screw google, aint no reason maps needs to be gigabytes of RAM to use
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