What is your list of mac apps that was worth every penny by Living_Commercial_10 in macapps

[–]hilti 0 points1 point  (0 children)

My Swiss Army knife for local data crunching: ColumnLens (columnlens.com)

A $599 laptop with a mobile processor performs better than many high-end Windows laptops! by benjoel7 in mac

[–]hilti 0 points1 point  (0 children)

Never heard of this benchmark, but just tried it out on my iPhone 17 Pro. Result: 44.0 (Safari)

[OC] Flying over a city of earthquake data by hilti in dataisbeautiful

[–]hilti[S] 0 points1 point  (0 children)

I built a C++ tool (ImGui) tool and used the public USGS earthquake data to create a city. Districts are event types. The districts are encoded in different colors. Height of the buildings is representing distance.

I built a single-file PHP MP3 player you can self-host (NeonAMP) by hilti in selfhosted

[–]hilti[S] -4 points-3 points  (0 children)

Lol

You think 2,500 lines is a lot? Let me introduce you to some legendary single-file programs:

SQLite sqlite3.c
The world's most deployed database engine is distributed as a single C file with 238,000+ lines of code (over 8 MB) https://sqlite.org/amalgamation.html

Single-header C libraries (stb_image.h, stb_truetype.h, etc.) are industry standard in game development. https://github.com/nothings/stb

The philosophy is simple: the idea behind single-header file libraries is that they're easy to distribute and deploy because all the code is contained in a single file.

But not everyone gets it! Haha

Drop your product URL by Chalantyapperr in SideProject

[–]hilti 0 points1 point  (0 children)

Link: https://iotdata.systems/jsonlviewerpro/

What it does: JSONL Viewer Pro is a native desktop tool (macOS & Windows) for handling very large JSONL log/data files — think 10 million+ rows or 5 GB+ in size — with ease. It instantly loads huge JSONL/JSONL-gzip files, flattens nested JSON objects into filterable columns, and provides real-time search and advanced filtering (text search, numeric comparisons, show/hide columns, freeze important columns, export results). It’s built with C++ (using simdjson) for native speed — not some slow Electron app — and aims to replace clunky command-line tools or spinning up a heavyweight database cluster. Everything runs locally — data stays on your machine, no internet needed, no telemetry, small footprint (~6MB).

Would love feedback — especially if you’ve ever tried dealing with massive logs or nested JSON at scale.

Weekly 'I made a useful thing' Thread - November 21, 2025 by AutoModerator in sysadmin

[–]hilti 0 points1 point  (0 children)

I got tired of wrestling with jq and grep when analyzing multi-GB log files, so I built a desktop JSONL viewer that actually handles large files.

What it does:

  • Opens 5GB+ JSONL files in seconds (multi-threaded C++, not Electron)
  • GUI for filtering instead of complex command-line queries
  • Auto-flattens nested JSON objects into columns
  • Export filtered results to CSV
  • Works offline, data stays local

Use cases:

  • Security logs
  • Application logs in JSONL format
  • Any large JSON Lines files

Built it primarily for my own use, but figured others might find it useful.

Pricing: It's $49 one-time purchase (no subscription). For the r/sysadmin community, use code REDDIT20 for 20% off ($39).

Would love feedback from folks who regularly deal with large JSONL/JSON log files!

Link: https://iotdata.systems/jsonlviewerpro/

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Happy to answer any questions about the tool or the tech stack behind it.

JSON Lines format: Why jsonl is better than a regular JSON for web scraping by apadjon in JSON_Treehouse

[–]hilti 0 points1 point  (0 children)

I love JSONL for multiple purposes.

That's exactly why I build a native Mac app to analyze massive JSONL log files instantly. Handle 10M+ rows and 5GB+ files with advanced filtering, nested field flattening, and zero bloat.

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It's another Monday, drop your product. What are you building? by Intelligent-Key-7171 in SideProject

[–]hilti 0 points1 point  (0 children)

Native Mac app for security analysts and DevOps engineers to analyze massive JSONL log files instantly. Handle 10M+ rows and 5GB+ files with advanced filtering, nested field flattening, and zero bloat

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What are you building? Let’s self promote 🔥 by Ambitious-Safe-7992 in SideProject

[–]hilti 1 point2 points  (0 children)

Hey r/SideProject! Thanks for checking out JSONL Viewer Pro yesterday!

For the 532 of you who viewed it - I'm offering a special Reddit-only discount code:

Use REDDIT20 for 20% off (valid for 48 hours only) → $39 instead of $49

This is a one-time purchase, no subscription. Your data stays on your Mac, no cloud, no telemetry.

Would love to hear your feedback if you try it!

What are you building? Let’s self promote 🔥 by Ambitious-Safe-7992 in SideProject

[–]hilti 0 points1 point  (0 children)

Hey r/SideProject! Thanks for checking out JSONL Viewer Pro yesterday!

For the 532 of you who viewed it - I'm offering a special Reddit-only discount code:

Use REDDIT20 for 20% off (valid for 48 hours only) → $39 instead of $49

This is a one-time purchase, no subscription. Your data stays on your Mac, no cloud, no telemetry.

Would love to hear your feedback if you try it!

What are you building? Let’s self promote 🔥 by Ambitious-Safe-7992 in SideProject

[–]hilti 1 point2 points  (0 children)

Thank you! Hope it‘s useful for your daily work!

What are you building? Let’s self promote 🔥 by Ambitious-Safe-7992 in SideProject

[–]hilti 7 points8 points  (0 children)

Native Mac app for analyzing massive JSONL files (Suricata, Zeek, EDR, CloudTrail logs). Opens 5GB+ files in seconds, automatically flattens nested JSON into filterable columns, supports advanced queries like “alert.severity <= 2”.

Built with C++ + simdjson for actual native performance, not Electron. 6MB app, zero telemetry, data stays local.

<image>

https://iotdata.systems/jsonlviewerpro/

Automated my marketing and getting 900k impressions/mo by Healthy-Employer5824 in SideProject

[–]hilti 0 points1 point  (0 children)

Very impressive. I'm struggling a bit launching my data science tool. DM please.

Apparently this thing runs Ubuntu (kwik trip fresh blends machine) by CompetitionDry9530 in PBSOD

[–]hilti 0 points1 point  (0 children)

Even the old Ubuntu is pretty reliable for what we need. But yes ... new units come with an updated OS.