nikhil

engineer.

[nikhil @maybe_nikhil]

Sharing my new open-source project, Reaper, a tool to find and analyze potentially unused code in your repositories.

GitHub: https://t.co/g2YP8GRYYO

I've written a short article explaining the problem, the approach, and how you can get started. https://t.co/OYzwS2gZox

[nikhil @maybe_nikhil]

us 🍀

[Mohit.sol @mohitsatitwt]

I'm healing.🌱

[nikhil @maybe_nikhil]

@anuragdotdev kya kare iss jeevan me phir

[nikhil @maybe_nikhil]

I'll go with Michael Stonebraker

> Co-created Ingres (1973), one of the first relational databases.
> Created PostgreSQL (1986), the most popular open-source relational database.
> Co-founded Vertica (2005) to promote a column-based DB for faster analytical queries.
> Built VoltDB (2009), an in-memory database designed for high-speed transaction processing.
> Won the Turing Award (2014) for his contributions to database systems.

[Ritesh Roushan @devXritesh]

let's appreciate the people who changed the tech industry by building software that millions of developers rely on,

I'll go with him:

[nikhil @maybe_nikhil]

@ifbuilder claimed!! that's so cool btw.

[nikhil @maybe_nikhil]

Kafkaesque is live on Product Hunt. Check it out, folks:
https://t.co/ajKr6T6wUa

[nikhil @maybe_nikhil]

> If you are using Kafka in your company, startup, or personal project, you need to try this tool: Kafkaesque

> Monitoring Kafka is tedious. We either have to rely on the CLI or observability platforms.

> Built Kafkaesque to solve this problem: a dedicated, read-only Kafka monitoring tool.

> Provides a web UI and CLI to inspect cluster health, brokers, topics, hourly message rates, consumer groups, and partition lag.

> Stack: Go + PostgreSQL + HTMX
> Single binary, easy to deploy, and read-only (safe by design)

> Check it out: https://t.co/2Dziq7Z6wM

> Details in the thread 🧵

[nikhil @maybe_nikhil]

@DavidStalmarck @Gustav_Hugod @TomasHarmer @Julius48024685 count me in :/

[nikhil @maybe_nikhil]

@SastaBiswa yes. Evidence helps models make effective decisions as well.

[nikhil @maybe_nikhil]

Sharing my new open-source project, Reaper, a tool to find and analyze potentially unused code in your repositories.

GitHub: https://t.co/g2YP8GRYYO

I've written a short article explaining the problem, the approach, and how you can get started. https://t.co/OYzwS2gZox

[nikhil @maybe_nikhil]

@maomao000211 true.

[nikhil @maybe_nikhil]

@Palakonweb Don't worry, employed me didn't get one either 😭

[nikhil @maybe_nikhil]

Reaper excludes common test patterns from dead-code candidates: tests/, test_*, *_test, *.test.*, and *.spec. Test references still contribute graph edges, so production code used by tests is less likely to be flagged.

However, unusual test naming or highly dynamic runtime behavior can still produce false positives.

[nikhil @maybe_nikhil]

@GithubProjects https://t.co/8POxwUJdzN

[nikhil @maybe_nikhil]

@mapredit Per partion lag is also there, for consumer group there's a dedicated page where you can see lags in every partion

[nikhil @maybe_nikhil]

> If you are using Kafka in your company, startup, or personal project, you need to try this tool: Kafkaesque

> Monitoring Kafka is tedious. We either have to rely on the CLI or observability platforms.

> Built Kafkaesque to solve this problem: a dedicated, read-only Kafka monitoring tool.

> Provides a web UI and CLI to inspect cluster health, brokers, topics, hourly message rates, consumer groups, and partition lag.

> Stack: Go + PostgreSQL + HTMX
> Single binary, easy to deploy, and read-only (safe by design)

> Check it out: https://t.co/2Dziq7Z6wM

> Details in the thread 🧵

[nikhil @maybe_nikhil]

Live on Peerlist:
https://t.co/Z1GCYjafoF

Do give it a vote, guys!

[nikhil @maybe_nikhil]

> If you are using Kafka in your company, startup, or personal project, you need to try this tool: Kafkaesque

> Monitoring Kafka is tedious. We either have to rely on the CLI or observability platforms.

> Built Kafkaesque to solve this problem: a dedicated, read-only Kafka monitoring tool.

> Provides a web UI and CLI to inspect cluster health, brokers, topics, hourly message rates, consumer groups, and partition lag.

> Stack: Go + PostgreSQL + HTMX
> Single binary, easy to deploy, and read-only (safe by design)

> Check it out: https://t.co/2Dziq7Z6wM

> Details in the thread 🧵

[nikhil @maybe_nikhil]

> Detailed installation and setup guide here:

https://t.co/eC6BOEUzIC

[nikhil @maybe_nikhil]

> UI walkthrough: Settings

i. User control panel: list, create, edit, or delete users.
ii. RBAC: Create roles and assign permissions as per the requirements
iii. Slack alerts: Manage Slack alerts, supports both the Slack app and workflows.