suraj pathak
469 posts


@eliana_jordan I would also like to take a look at it.
ps: not sure what testing process is gonna be used or how, but if I'm thinking correctly, then one good note: maintain a public list of already reported issues so that new testers do not repeat things.
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android version is ready too
looking for testers
who’s in?
Eliana@eliana_jordan
ok that was fast… my app got approved in 8 hours first try! thought it was a myth, turns out it’s real
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took longer than I anticipated, but finally I've completed the Service Booking feature.
Users can book services like consultation; time slot is allocated and a google meet link is generated and mailed to the customers.

suraj pathak@surajpathakcs
How long do you think it will take me to build a booking system like cal.com for our ecommerce platform? > it's gonna have one admin and many clients.
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🚨 BREAKING: Wiz Research discovered Remote Code Execution on GitHub.com with a single git push
The flaw in @github allowed unauthorized access to millions of repositories belonging to other users and organizations 🤯

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Sarkar le harek barsa line gareko admission fee banda gareko haina ra?
Mero Vai KO school le admission fee haina just saying rakam ho vanera liraxa ta
Btw government school ho @ShahBalen
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How 1 guy destroyed whole Nepal badly ?
Balen Shah became PM of Nepal via Genz protest
He started putting duty on even small things from India on border to hurt imports from India
But he messed with wrong country
India in response blocked fuel for Nepali vehicles who were enjoying on subsidised rates
Now, massive protest has started against him by his own people 🔥

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my latest project is done and I tick off my bucket list of having my own database.
sceptre - a transparent embedded relational database engine, the whole stack... from raw disk pages up to a SQL layer, all from scratch.
here's what's under the hood:
- fixed-size page storage with dual meta pages and checksums.
- copy-on-write B+ tree for ordered key/value storage.
- freelist so deleted pages get reused instead of lost.
- typed tables, primary keys, secondary indexes.
- a query planner that picks table scans vs index lookups.
- commit interruption recovery, tested deterministically, not just hoped for.
- full inspection CLI: decode a raw page, walk the freelist, trace row flow through execution.
and the part I'm most proud of: the observability tooling. you can run a query, see exactly which rows were scanned, which stage took how long, and then drop down to the raw page bytes to see why.
benchmarks on 100k rows:
- table scan: 246ms, 100,000 rows scanned
- same query with a secondary index: 14ms, 1,429 rows scanned
- 70x fewer rows touched. 17.6x faster.
- crash recovery: 20/20 cases clean
and it's built in Go. zero external dependencies. single binary CLI with a built in shell.

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