@plahteenlahti Hi Perttu, love the Shipaton showcase! Our 2026 entry Podcasterium (https://t.co/RrwV7UGVxu) doesn't show up there. I guess that's because the iOS version is still in App Review and only the Android one is live: https://t.co/j8uGyn5Zog. Any chance Play-only apps could be included
@Dia_Sporan Prosao sam kroz sve komentare i vidljivo je tocno ono sto vidimo godinama intenzivno na svim drustvenim mrezama, stvarni ljudi uglavnom daju pozitivne komentare, a botovi negativne :))
Tehnologija je neutralna, ali tuzno je kako mnogi rade zlouporabu, sad sa AI je lakse :))
@ivanpzrodic@Dia_Sporan Stadion bez krova i tribina koje su 365 dana u funkciji u obliku poslovnih prostora nema smisla graditi, stadion bez krova je najjefnostavnije napraviti u obliku montaznih tribina oko trave na hipodromu i problem rijesen
@Dia_Sporan Ovo je najljepse rjesenje od svih koje sam vidio do sad po drustvenim mrezama, u subotu sam slozio pristojno tehnicko rjesenje za glasanje https://t.co/ogNb8g8iL8 sve je opensource https://t.co/0wQ7w1Ox54
@Vide_Rapula Nek botovi probaju dodati random glasove ovdje :D
https://t.co/ogNb8g8iL8
Sve je opensource https://t.co/0wQ7w1Ox54 pa cekam da mi netko uspije shackati :D
@gnkdinamo Sve je opensource https://t.co/0wQ7w1Ox54 forkajte, doradite u Dinamo branding i postavite na https://t.co/PQfQvbpDeQ i neka svi glasaju, svatko moze odabrati izmedju 0 i 88 projekata raspodjelom svoga glasa 0 do 100 jednostavno i javno provjerljivo :D
@gnkdinamo Ako gradimo iz zajednicke blagajne pa onda svi imamo jednako pravo glasa https://t.co/ogNb8g7KVA ovo technicko rjesenje koristi Certilia login i blockchain pa isprobajte :D
@RabAuro88@nbakic Ima ovdje, ostavite 0/100 bodova i predate prazni listic :D
https://t.co/ogNb8g7KVA
Ovo je rjesenje u kojem svoj glas dijelite na 100 jednakih dijelova i izmedju 0 i 88 prjekata podijelite izmedju 0 i 100 likvidna demokracija i ovo rjesenje je primijenjivo za svake izbore :D
@nbakic Slozio sam slicno https://t.co/ogNb8g8iL8 radi se gotovom rjesenju likvidne demokracije, autorizacija kro Certilia MobileID i nakon toga onchain verifikacija na Gnosis chainu i uz dodatni zapis integriteta glasa u Bitcon kroz OpenTimestamps, sve je 100% opensource :D
Never sell what you actually believe in.
That’s the whole reason we built Hobba.
The rich have always borrowed against assets. Everyone else was told to sell.
We’re making the first option available onchain for everyone - and in a lot of cases the loan pays itself down.
@IgorJerkovic The true faith is not tradable :))
✝️♥️🇭🇷
Go Hobba go…
https://t.co/TbO02h4dGw
Think about donations as self-repaying investments, donators are believers and supporters, why not convert donators to investors…
https://t.co/TaRt8wNCro
I see a lot of people think, "AI is so much better at coding, so why should I bother reviewing PRs?"
IMO that's plain wrong (and dangerous). The purpose of code reviews is not to catch bugs - that's what your test suite and QA are for.
The purpose of code review is to have a conversation - share knowledge and build mutual understanding of the system you're building with others.
In the end, it all comes down to whether you want to own and understand your product.
Meet the CEO of Hobba, @IgorJerkovic
Hobba is the future of borrowing, available today, here is why:
0:00 What is Hobba & and Meet Igor (CEO)
0:28 Borrow Better: the best rate across Solana lenders
1:05 Your collateral keeps earning
1:30 Introducing Sonnar, 24/7 loan monitoring
1:52 How Sonnar auto-deleverages before liquidation
2:25 The Audit
2:55 Spend without selling your crypto
3:30 Borrow Better
Want to Borrow Better? DM for code 📷
Exploring different positioning options for Wasp.
We have both "traditional" engineers and vibe-coders building with Wasp, and we want to make it clear for both audiences.
Also, Claude is really cool for building fun stuff like this.
RAG vs. CAG, clearly explained!
RAG is great, but it has a major problem:
Every query hits the vector DB. Even for static information that hasn't changed in months.
This is expensive, slow, and unnecessary.
Cache-Augmented Generation (CAG) addresses this issue by enabling the model to "remember" static information directly in its key-value (KV) memory.
In fact, you can combine RAG and CAG for the best of both worlds.
Here's how it works:
RAG + CAG splits your knowledge into two layers:
↳ Static data (policies, documentation) gets cached once in the model's KV memory
↳ Dynamic data (recent updates, live documents) gets fetched via retrieval
This gives faster inference, lower costs, and less redundancy.
The trick is being selective about what you cache.
Only cache static, high-value knowledge that rarely changes. If you cache everything, you'll hit context limits. Separating "cold" (cacheable) and "hot" (retrievable) data keeps this system reliable.
You can start today. OpenAI and Anthropic already support prompt caching in their APIs.
I have shared my recent article on prompt caching below if you want to dive deeper.
Have you tried CAG in production yet?
Below, I have quoted an article that I wrote on prompt cashing and how Claude Code achieves a 92% cache hit-rate. Give it a read.