The Curious Engineer

All blogs / Tech news / industry

Arnon Shimoni

arnon.dk

Startup marketing, billing, monetization, pricing, and some more

Tech news / industryAI / ML

’15’20’25
Posts
59 from 10 Oct 2014 to 19 Jul 2026
Posting
monthly (13 in the last year)
Kind
personal blog
Feed
https://arnon.dk/feed/

2026 9

  1. What is usage-based billing? Tokens, credits, and outcomes, explained in Simplified Technical English
  2. You gotta deal with the boring part first
  3. The current AI pricing was always going to go away
  4. Pricing is a product surface
  5. Contracted ARR considered harmful
  6. Extend or replace – how to evaluate your billing stack at AI scale
  7. Notes on AI Led Growth (ALG)
  8. 1,800 pricing changes in 2025, zero billing overhauls
  9. Building a billing system is still hard, even with AI

2025 12

  1. The “stranded asset” in AI pricing
  2. Building a startup marketing engine when you have nothing
  3. Operational debt is worse than tech debt
  4. The trust collapse: Infinite AI content is awful
  5. Notes on where seat-based pricing is going
  6. MIT’s 95% AI failure rate is wrong
  7. The free tier death cult
  8. The SaaS pricing apocalypse
  9. The 5 stages of SaaS death
  10. Pricing AI Proofs-of-Concept: free pilots will kill you
  11. 🐙 The 14 pains of billing for AI agents
  12. How we built a mini podcasting studio for under $10,000

2024 2

  1. 🤔🔍 B2C billing is actually harder than B2B billing
  2. 🦑 The 14 pains of building your own billing system

2023 2

  1. You’re pricing your SaaS wrong but that’s probably OK
  2. Design your pricing and tools so you can adapt them later

2022 3

  1. How we built a Cashback system with Stripe
  2. Printing to a POS-5890K thermal printer from a Raspberry Pi
  3. You should separate your billing from entitlements

2021 5

  1. Forward →
  2. Running OKR workshops for dummies (part 2)
  3. Zero waste with SaaS products
  4. Running OKR workshops for dummies (part 1)
  5. 5 things I learned while developing a billing system

2020 8

  1. Top 6 must-read books for PMs getting into product management in 2021
  2. Matching CUDA arch and CUDA gencode for various NVIDIA architectures
  3. No, your job isn’t to say “no”
  4. Using Tesla K80 cards, or AWS P2 instances? The end is near
  5. 2020 is here! Why are we still using 1980s tech?
  6. Your DBMS is slow. What do you do?
  7. My top 5 “product” books
  8. Speaking at Data Innovation Summit and Big Data Warsaw

2019 4

  1. How airlines use your personal data to reduce delays – and why you should let them have it
  2. Another month, two more trade-shows under my belt
  3. I spoke at Data Innovation Stockholm
  4. Quickstart – Installing nvidia docker in one guide

2018 2

  1. SQream DB at CMU – How we approached building a GPU database
  2. I built a GeoJSON to CSV parser in Python

2017 2

  1. How to check which CUDA version is installed on Linux
  2. When would SQream DB be right for me?

2016 3

  1. SQream DB string cheat-sheet
  2. Nvidia GTX 1080 vs Nvidia Tesla K40 – Installing a GTX1080 in a Dell R720
  3. X crashes after installing Nvidia driver on CentOS or RHEL

2015 5

  1. Haskell programmers
  2. Where are the GPU based SQL databases?
  3. Backing up and restoring a Jetson TK1 – or how our first Jetson TK1 just died….
  4. How do you write good error messages?
  5. Malicious traffic detection using traffic fingerprints and machine learning

2014 2

  1. I’ve managed to compile GHC-7.8.3 on an Nvidia Tegra (Jetson K1) and Adapteva Parallella-16!
  2. Rot13 implementation in Haskell