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NeroVanbierv

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https://nerovanbiervliet.be/

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nerovanbiervliet.be 5mo ago

Google Ads Reporting with SQLite and Metabase [Guide]

NeroVanbierv
2pts0
www.marpledata.com 8mo ago

Show HN: Marple DB – Querying billions of time series datapoints on Parquet+Pg

NeroVanbierv
2pts0
www.alexandercogneau.com 1y ago

Ski Itinerary Optimization

NeroVanbierv
2pts0
gitlab.com 1y ago

`llmhelp` bash function to assist on infra work

NeroVanbierv
1pts1
theprobabilitytimes.com 1y ago

Show HN: The Probability Times

NeroVanbierv
20pts19
nerology.substack.com 2y ago

Choose a bad name for your next project

NeroVanbierv
1pts0
nerology.substack.com 2y ago

X.com is Twitter, but what are [a-z].com?

NeroVanbierv
177pts191
docs.influxdata.com 2y ago

InfluxDB /delete endpoint is disabled on InfluxDB cloud

NeroVanbierv
1pts1
i.imgur.com 2y ago

The amount of ads after submitting a Doodle

NeroVanbierv
1pts0
nerology.substack.com 2y ago

I don't like reusable cups at music festivals

NeroVanbierv
3pts0
nerology.substack.com 3y ago

My broken ThinkPad plays music upon booting

NeroVanbierv
214pts61
www.marpledata.com 3y ago

Show HN: CI/CD for time series data (by Marple)

NeroVanbierv
15pts2
www.google.com 3y ago

Why are all Google search results “Untitled”?

NeroVanbierv
7pts4
app.marpledata.com 3y ago

Energy production by source in Belgium (last 5 years)

NeroVanbierv
2pts0
www.marpledata.com 3y ago

Shining a light on solar racing: the power of a data data driven car

NeroVanbierv
1pts1
www.marpledata.com 3y ago

Disco balls in space: how variable stars work

NeroVanbierv
3pts1
stream.marpledata.com 3y ago

Show HN: Stream realtime example data to your InfluxDB

NeroVanbierv
3pts0
www.marpledata.com 3y ago

Show HN: An influxDB front end made for engineers

NeroVanbierv
2pts0
www.marpledata.com 3y ago

We still use .csv for time series data

NeroVanbierv
4pts0
www.marpledata.com 3y ago

Show HN: Marple – Interactive time series visualization for engineers

NeroVanbierv
42pts14
www.marpledata.com 3y ago

Show HN: Marple – Interactive time series visualization for engineers

NeroVanbierv
14pts3
getmarple.io 6y ago

Show HN: Marple – Visualising millions of datapoints for engineers

NeroVanbierv
116pts45
Claude Opus 4.6 5 months ago

Just did a similar experiment but outside the harry potter universe to remove the training bias. It worked well!

ChatGPT: "Generate a two page short story like harry potter, but don´t mention anyting harry potter related. make up 4 unique spells in the story that are used"

Response see https://chatgpt.com/share/698af9cd-f628-800d-9250-b260f1478c...

Claude: "What unique wizarding spells can you find in this story? [story]"

Response = https://i.imgur.com/Jzzs3PC.png

For me, the main appeal to MATLAB was the REPL experience, allowing me to experiment with ideas and inspect results in the UI. Python notebook have bridged the gap a bit, but always require a combination of libraries (with different docs & design choices) to write a single script.

Marple | Antwerp, Belgium | Full-time | Hybrid on-site + WFH

We are building software for handling huge time series from R&D in Aerospace & Automotive. Engineers use Marple to analyse data from exciting stuff such as: space rovers, eVTOL aircraft, electrical hyper cars, …

We are looking for a technical mind with a love for customers to become our head of customer success.

Reach out to nero (at) marpledata (dot) com

Marple | Customer Success Manager | ONSITE Antwerp (Belgium) | Full-time

We are building high performance time series data storage and analysis software for R&D teams in aerospace and automotive. We have customers all across Europe, with a focus on Germany, France, UK and Croatia. We are powering extremely cool R&D teams like hydrogen-based flying, new electrical engines and hyperloop systems.

We are looking for a person with a technical background but with a strong interest in customer facing efforts.

Apply at https://tally.so/r/mJQEAX, or email me at nero[at]marpledata[dot]com (CTO)

How it works 1. Takes the last command from your bash history 2. Reruns it to capture the output 3. Gives this info to `llm cmd` to get a suggestion 4. Show the suggestion to the user!

Basically a quicker feedback loop instead of looking up params & typos on google.

Indeed, I’m just piping FiveThirthyEight > facts > LLM. And what the LLM makes of that is what you’re seeing, I tried to brief it as dry as possible in the prompt!

This was one of the hard parts of making this. I think I discarded about 70% of all generated images, and I was aware that the remaining 30% was still borderline sometimes.

I my blogpost, I have a few examples of the discarded ones, including one of Harris and Obama in a similar romantic vibe: https://nerology.substack.com/p/how-i-made-the-probability-t...

I think at some point in the prompt I literally said that they were not romantically involved.

I deliberately tried to keep the content neutral. The goal of the website is translating statistics to something tangible - not adding an extra sauce of assumptions to it!

Marple | Backend engineer (huge time series algorithms) | On-site (Antwerp, Belgium, 3/d week) | Full-time

Marple ([marpledata.com](https://www.marpledata.com/)) is a startup based in Antwerp, Belgium. We are a product-focused company, building visualisation software for large time series datasets.

Our customers are top engineering teams that develop electrical planes (Lilium), design new electrical engines (Deepdrive) and make hyperloop a real thing in Europe (Hardt).

We recently raised a new round, and are hiring: - Backend engineer (mostly python & databases) - Customer success manager

https://www.marpledata.com/careers

Shazam for singing 3 years ago

I think the main problem is that you often don't know the lyrics if you're trying to find a song. Recently a friend of mine hummed a song to shazam and it did actually work!

Marple | Software engineer | Full-time | ONSITE Antwerp, Belgium

At Marple we believe that engineers are the cornerstone of innovation and are committed to supporting them. Our goal is to make engineering more efficient, qualitative and increase collaboration.

We do this by creating a kickass data analysis platform with focus on a great UX and performance for large data sets. We take pride in the speed of our software: visualisation is near instantaneous for files up to hundreds of Gigabytes.

Tech stack: React, Python, TimescaleDB, AWS

Find out more on https://getmarple.io/careers/backend-engineer or contact me directly: nero@getmarple.io