Vi

Vigilant - Blazing fast dev-friendly logs

Hacker News

Vigilant - Blazing fast dev-friendly logs

Hey HN! We're Ben and Izak, the cofounders of Vigilant. Vigilant is a lightweight tool for managing structured logs. It lets you centralize your logs, search them, and create alerts. We used Cloudwatch for logs on our last product, and it was quite painful. Even basic searches felt tedious. We’ve used dedicated observability tools at past jobs, but most of them have a steep learning curve and require widespread integration (and some still feel clunky). With Vigilant, we're focused on making logs feel fast and simple. We operate at the application layer with an sdk. We're trying a unique optional feature that automatically reads stdout. It lets you capture existing console.log and print statements. And if you want custom log attributes, you can add them with middleware. This approach minimizes the impact on your codebase, and it's easy to understand. But it only gets application logs; still valuable, though we may need to expand to system logs later. A while ago, we heard the team behind Cursor follows the guideline “Fast is fun.” It really resonates with us. We think it could extend to everything in the developer workflow, not just the IDE. So in our dashboard, we optimize for speed. The first page you open is your logs. We present logs like a spreadsheet, with rearrangeable columns. You can search without writing queries, and you can add filters with one click. Our queries themselves are pretty fast (Clickhouse under the hood). Though we still need to do better indexing to make searches even faster. For background context, we actually pivoted to Vigilant. We were part of YC S23 and our original product was a webgl-based design tool and website builder - https://news.ycombinator.com/item?id=41436338 . It’s dead now. Repaint had a master plan, a beautiful UI, awesome technology… and no users. So honestly, we’re trying to avoid a big master plan with Vigilant. We’re just trying to listen and learn. We already have more users (big win!). And we’ve noticed that as we optimize the experience, they use it more. Seems like developers enjoy tools that don't disrupt their workflow. We're interested to see how far we can take that. We’re still early and we’d love ideas and feedback. So if Vigilant seems helpful, please try it! Website: https://vigilant.run/ Docs: https://docs.vigilant.run/ Discord: https://discord.com/invite/Kr9YR2XUqr (Also, if you want to try spinning the square on the homepage, our record is 92 rotations)

Share card

Actual performance

8points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, user, new · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, lua, existing · Missing: https docs, excited, just released
77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: friendly, builder, users · Missing: plus, platform, intuitive
62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

En
Encrypting all your logs with logrotate and Peacemakr31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Encrypting all your logs with logrotate and Peacemakr

Hacker News3
ConsoleLog
ConsoleLog64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn your server and browser logs into friendly popups

Product Hunt+9
Levelop.dev
Levelop.dev68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Fast Lane To MAANG

Indie Hackers1ai
Lo
Logbox – let Claude monitor your dev logs42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Logbox – let Claude monitor your dev logs

Hacker News4
Ma
Magic links – Get video and dev logs without installing anything51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Magic links – Get video and dev logs without installing anything

Hacker News17
A
A Clojure REPL that is beginner friendly60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Clojure REPL that is beginner friendly

Hacker News4
Postcard Panda
Postcard Panda40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Eco-Friendly Postcards

Indie Hackers1$400/mob2b
TERRA
TERRA69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Eco-friendly soy candles

Indie Hackers1$2,500/mob2b
Dev Utils
Dev Utils46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Developer friendly Tools

Indie Hackerscommitment-side-project
Ho
Hoofli – PlantUML from Browser Logs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hoofli – PlantUML from Browser Logs

Hacker News1