Jakub Slys
@iam.slys.dev
𝑇ℎ𝑒 𝑏𝑒𝑠𝑡 𝑡𝑖𝑚𝑒 𝑡𝑜 𝑝𝑙𝑎𝑛𝑡 𝑎 𝑡𝑟𝑒𝑒 𝑤𝑎𝑠 20 𝑦𝑒𝑎𝑟𝑠 𝑎𝑔𝑜. 𝑻𝒉𝒆 𝒔𝒆𝒄𝒐𝒏𝒅 𝒃𝒆𝒔𝒕 𝒕𝒊𝒎𝒆 𝒊𝒔 𝒏𝒐𝒘.
Consistency in distributed systems: it’s not black and white. Find your balance, hide the delays, pick models with intention, design for healing not just perfection. Where could your app loosen up?
What it means for a system to be consistent — and why it does not always have to be
System design fundamentals
iam.slys.dev
January 20, 2026 at 8:21 PM
Consistency in distributed systems: it’s not black and white. Find your balance, hide the delays, pick models with intention, design for healing not just perfection. Where could your app loosen up?
Brute-force merging is fine—until you hit real scale. The best median solutions stay efficient even when the array sizes explode. Can you keep your algorithm cool when the data goes big?
Read more: https://iam.slys.dev/p/crack-google-interview-can-you-finding
Read more: https://iam.slys.dev/p/crack-google-interview-can-you-finding
🧠 Crack Google Interview: Can you finding the median of two sorted arrays?
Google LeetCode
iam.slys.dev
January 20, 2026 at 3:16 PM
Brute-force merging is fine—until you hit real scale. The best median solutions stay efficient even when the array sizes explode. Can you keep your algorithm cool when the data goes big?
Read more: https://iam.slys.dev/p/crack-google-interview-can-you-finding
Read more: https://iam.slys.dev/p/crack-google-interview-can-you-finding
Giving $100 and free rein to ChatGPT in the real stock market is both gutsy and transparent. It’s fascinating to see AI held accountable by daily numbers, drawdowns and all. Do you believe in AI’s pattern-spotting skills?
Python AIFinance investing
Python AIFinance investing
GitHub - LuckyOne7777/ChatGPT-Micro-Cap-Experiment: This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio. - LuckyOne7777/ChatGPT-Micro-Cap-Experiment
github.com
January 20, 2026 at 12:14 PM
Giving $100 and free rein to ChatGPT in the real stock market is both gutsy and transparent. It’s fascinating to see AI held accountable by daily numbers, drawdowns and all. Do you believe in AI’s pattern-spotting skills?
Python AIFinance investing
Python AIFinance investing
Speed isn’t all about algorithm—it’s about fitting data into cache. L1/L2 hits can make your app radically faster and reduce memory stalls. Do you profile code to spot cache-unfriendly data? Share your approach: https://iam.slys.dev/p/cpu-caches-why-tiny-memory-matters
CPU Caches: Why tiny memory matters?
System design
iam.slys.dev
January 19, 2026 at 3:16 PM
Speed isn’t all about algorithm—it’s about fitting data into cache. L1/L2 hits can make your app radically faster and reduce memory stalls. Do you profile code to spot cache-unfriendly data? Share your approach: https://iam.slys.dev/p/cpu-caches-why-tiny-memory-matters
Ever wanted to see exactly how changing a prompt changes AI behavior? Anthropic’s interactive tutorial is all about learning by doing, not just reading. What’s the most surprising thing you’ve learned from hands-on prompt exploration?
PromptEngineering AITools EdTech
PromptEngineering AITools EdTech
GitHub - anthropics/prompt-eng-interactive-tutorial: Anthropic's Interactive Prompt Engineering Tutorial
Anthropic's Interactive Prompt Engineering Tutorial - anthropics/prompt-eng-interactive-tutorial
github.com
January 19, 2026 at 12:14 PM
Ever wanted to see exactly how changing a prompt changes AI behavior? Anthropic’s interactive tutorial is all about learning by doing, not just reading. What’s the most surprising thing you’ve learned from hands-on prompt exploration?
PromptEngineering AITools EdTech
PromptEngineering AITools EdTech
Forget to post on Substack Notes again? I know that pain—and built automation to fix it. Sometimes freeing ourselves from these micro-tasks is the best creativity boost. Ever rigged a system to outsmart your own forgetfulness? Read more: https://iam.slys.dev/p/how-you-can-build-substack-notes
How you can build Substack Notes scheduler with n8n
Save time, stay consistent, and let automation handle the posting for you!
iam.slys.dev
January 18, 2026 at 8:21 PM
Forget to post on Substack Notes again? I know that pain—and built automation to fix it. Sometimes freeing ourselves from these micro-tasks is the best creativity boost. Ever rigged a system to outsmart your own forgetfulness? Read more: https://iam.slys.dev/p/how-you-can-build-substack-notes
Substack, GPT-4.1, and n8n for the win: fetch your own posts, summarize them, brainstorm in seconds. It’s like having a backstage editor who never sleeps. Could you see this in your workflow? Read more: https://iam.slys.dev/p/supercharge-your-substack-build-a
Supercharge your Substack: Build a personalized AI assistant in a few clicks 🚀🤖
Turn your latest posts and notes into new ideas with an AI sidekick powered by n8n and ChatGPT
iam.slys.dev
January 18, 2026 at 3:16 PM
Substack, GPT-4.1, and n8n for the win: fetch your own posts, summarize them, brainstorm in seconds. It’s like having a backstage editor who never sleeps. Could you see this in your workflow? Read more: https://iam.slys.dev/p/supercharge-your-substack-build-a
It’s wild how accessible APIs have become. This repo’s huge index makes finding public endpoints as easy as exploring a digital bazaar. What’s one API you wish everyone knew?
opendata apilist devcollab
opendata apilist devcollab
GitHub - marcelscruz/public-apis: A collaborative list of public APIs for developers
A collaborative list of public APIs for developers - marcelscruz/public-apis
github.com
January 18, 2026 at 12:14 PM
It’s wild how accessible APIs have become. This repo’s huge index makes finding public endpoints as easy as exploring a digital bazaar. What’s one API you wish everyone knew?
opendata apilist devcollab
opendata apilist devcollab
Vertical partitioning is sorting by category; horizontal partitioning is splitting by range—simple wardrobe logic, powerful data design. What partitioning tricks have saved your bacon? Read more: https://iam.slys.dev/p/why-databases-get-split-sharding
Why databases get split — sharding, partitioning, and replication without fear
System design fundamentals
iam.slys.dev
January 17, 2026 at 8:21 PM
Vertical partitioning is sorting by category; horizontal partitioning is splitting by range—simple wardrobe logic, powerful data design. What partitioning tricks have saved your bacon? Read more: https://iam.slys.dev/p/why-databases-get-split-sharding
Queues act like shock absorbers for our systems. Without them, every traffic spike can become chaos; with them, everything flows a little smoother. Where have you seen queues silently keep things running? Read more: https://iam.slys.dev/p/why-we-need-queues-and-what-they
Why we need Queues - and what they do when no one is watching
System design fundamentals
iam.slys.dev
January 17, 2026 at 3:16 PM
Queues act like shock absorbers for our systems. Without them, every traffic spike can become chaos; with them, everything flows a little smoother. Where have you seen queues silently keep things running? Read more: https://iam.slys.dev/p/why-we-need-queues-and-what-they
Tried Kiro, the "agentic" IDE, and wow—planning, prototyping, and production all merge with AI specs and hooks. It really feels like collaborating with an intelligent peer, not just another tool. Are you open to IDEs working *with* you, not just *for* you?
AI agent IDE devtools
AI agent IDE devtools
GitHub - kirodotdev/Kiro: Kiro is an agentic IDE that works alongside you from prototype to production.
Kiro is an agentic IDE that works alongside you from prototype to production. - kirodotdev/Kiro
github.com
January 17, 2026 at 12:14 PM
Tried Kiro, the "agentic" IDE, and wow—planning, prototyping, and production all merge with AI specs and hooks. It really feels like collaborating with an intelligent peer, not just another tool. Are you open to IDEs working *with* you, not just *for* you?
AI agent IDE devtools
AI agent IDE devtools
Why settle for just shrinking links when each one can be a signal generator? Real-time analytics turn every click into a story. What would you want to measure about your links? Read more: https://iam.slys.dev/p/from-tinyurl-to-bitly-and-beyond
From TinyURL to Bitly (and beyond): designing a smarter URL shortener
Principles and practice of system design
iam.slys.dev
January 16, 2026 at 8:21 PM
Why settle for just shrinking links when each one can be a signal generator? Real-time analytics turn every click into a story. What would you want to measure about your links? Read more: https://iam.slys.dev/p/from-tinyurl-to-bitly-and-beyond
Idempotency is underrated but vital. If a request is repeated, the best systems ensure the result stays the same—no panic, no duplicates, no double charges. Which operations have you made idempotent recently? Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
How systems handle failure — retries, circuit breakers, and idempotency
System design fundamentals
iam.slys.dev
January 16, 2026 at 3:16 PM
Idempotency is underrated but vital. If a request is repeated, the best systems ensure the result stays the same—no panic, no duplicates, no double charges. Which operations have you made idempotent recently? Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
Retries: fantastic when well-managed, chaotic when naive. Exponential backoff and jitter turn selfish retry logic into polite behavior. Ever run into a retry storm? How do you set your retry policies? Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
How systems handle failure — retries, circuit breakers, and idempotency
System design fundamentals
iam.slys.dev
January 15, 2026 at 8:21 PM
Retries: fantastic when well-managed, chaotic when naive. Exponential backoff and jitter turn selfish retry logic into polite behavior. Ever run into a retry storm? How do you set your retry policies? Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
Productivity benchmarks for agentic AI are showing only incremental real-world gains. Might be time to temper expectations and focus on transparency. How are you adapting your workflows to this reality?
✨ Scientific ML leads, time-series foundation models generalize, and real-world agent benchmarks temper automation hype
AI Alert
iam.slys.dev
January 15, 2026 at 3:16 PM
Productivity benchmarks for agentic AI are showing only incremental real-world gains. Might be time to temper expectations and focus on transparency. How are you adapting your workflows to this reality?
It’s fascinating how prompt engineering evolved into a hands-on craft. Anthropic built a tutorial where anyone can try ideas and build intuition with real LLM feedback. How do you learn best—by reading or by doing?
AIlearning DevEducation OpenSource
AIlearning DevEducation OpenSource
GitHub - anthropics/prompt-eng-interactive-tutorial: Anthropic's Interactive Prompt Engineering Tutorial
Anthropic's Interactive Prompt Engineering Tutorial - anthropics/prompt-eng-interactive-tutorial
github.com
January 15, 2026 at 12:14 PM
It’s fascinating how prompt engineering evolved into a hands-on craft. Anthropic built a tutorial where anyone can try ideas and build intuition with real LLM feedback. How do you learn best—by reading or by doing?
AIlearning DevEducation OpenSource
AIlearning DevEducation OpenSource
Scaling out = extra branches for your library, no one waits in line. Sharding helps, but brings distributed trade-offs. Have you ever thanked sharding for saving a project? Read more: https://iam.slys.dev/p/why-databases-get-split-sharding
Why databases get split — sharding, partitioning, and replication without fear
System design fundamentals
iam.slys.dev
January 14, 2026 at 8:21 PM
Scaling out = extra branches for your library, no one waits in line. Sharding helps, but brings distributed trade-offs. Have you ever thanked sharding for saving a project? Read more: https://iam.slys.dev/p/why-databases-get-split-sharding
Interpretability in ML is moving from wishful thinking to baseline requirement. If you want trusted automation, knowing why the model acts is key. What tools or practices bring you the most clarity?
✨ Scientific ML leads, time-series foundation models generalize, and real-world agent benchmarks temper automation hype
AI Alert
iam.slys.dev
January 14, 2026 at 3:16 PM
Interpretability in ML is moving from wishful thinking to baseline requirement. If you want trusted automation, knowing why the model acts is key. What tools or practices bring you the most clarity?
Data Tables in n8n made me rethink content workflows. No more scattered spreadsheets—now everything is structured, fast, and made for automation. What would you do with your own mini CMS?
How you can automate sharing your Substack to X, Threads, Notes & Bluesky
A journey into protecting your creative spark - by letting a system carry the load
iam.slys.dev
January 13, 2026 at 8:21 PM
Data Tables in n8n made me rethink content workflows. No more scattered spreadsheets—now everything is structured, fast, and made for automation. What would you do with your own mini CMS?
Becoming a system thinker means spotting patterns, even in advanced articles you only half-understand. Don’t worry if it feels slow—the pieces will fit eventually. Are you more of a skimmer or a deep diver? Read more: https://iam.slys.dev/p/how-to-learn-system-design-without
How to learn System Design without getting overwhelmed
A beginner-friendly roadmap of blogs, books, and experts to help you go from confused to confident
iam.slys.dev
January 13, 2026 at 3:16 PM
Becoming a system thinker means spotting patterns, even in advanced articles you only half-understand. Don’t worry if it feels slow—the pieces will fit eventually. Are you more of a skimmer or a deep diver? Read more: https://iam.slys.dev/p/how-to-learn-system-design-without
Exponential backoff plus jitter: not just buzzwords, but the etiquette your system needs. Have you ever tuned backoff for real-world outages? Share your settings! Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
How systems handle failure — retries, circuit breakers, and idempotency
System design fundamentals
iam.slys.dev
January 12, 2026 at 8:21 PM
Exponential backoff plus jitter: not just buzzwords, but the etiquette your system needs. Have you ever tuned backoff for real-world outages? Share your settings! Read more: https://iam.slys.dev/p/how-systems-handle-failure-retries
The move toward physics-constrained, uncertainty-aware learning is real. Scientific ML models are starting to partner in real research. What limits or opportunities do you see for ML becoming a core part of science?
✨ Scientific ML leads, time-series foundation models generalize, and real-world agent benchmarks temper automation hype
AI Alert
iam.slys.dev
January 11, 2026 at 8:21 PM
The move toward physics-constrained, uncertainty-aware learning is real. Scientific ML models are starting to partner in real research. What limits or opportunities do you see for ML becoming a core part of science?
Doing more isn’t always the goal—doing what matters is. When automation clears the noise, your ideas finally get the room to breathe. If you could automate one creative hassle, what would it be?
How you can automate sharing your Substack to X, Threads, Notes & Bluesky
A journey into protecting your creative spark - by letting a system carry the load
iam.slys.dev
January 11, 2026 at 3:16 PM
Doing more isn’t always the goal—doing what matters is. When automation clears the noise, your ideas finally get the room to breathe. If you could automate one creative hassle, what would it be?
YTPro’s tiny APK still delivers captions, downloads, gestures, and even Gemini-powered summaries. It’s fun to see a project push both technology and nostalgia at once. What features would you build for legacy users?
devtools retro ai productivity
devtools retro ai productivity
GitHub - prateek-chaubey/YTPro: Youtube client with older Android version support, background player, Google Gemini ✨ and many more features.
Youtube client with older Android version support, background player, Google Gemini ✨ and many more features. - prateek-chaubey/YTPro
github.com
January 11, 2026 at 12:14 PM
YTPro’s tiny APK still delivers captions, downloads, gestures, and even Gemini-powered summaries. It’s fun to see a project push both technology and nostalgia at once. What features would you build for legacy users?
devtools retro ai productivity
devtools retro ai productivity
Reverse engineering is about curiosity, respect, and making things better for everyone. Tinker ethically, automate what inspires you, and share your story. What should be my next target? Read more: https://iam.slys.dev/p/no-official-api-no-problem-how-i
No official API⁉️ No problem‼️ How I reverse-engineered Substack API (and so can you)
You don’t need official docs to create real tools - just curiosity and patience
iam.slys.dev
January 10, 2026 at 3:16 PM
Reverse engineering is about curiosity, respect, and making things better for everyone. Tinker ethically, automate what inspires you, and share your story. What should be my next target? Read more: https://iam.slys.dev/p/no-official-api-no-problem-how-i