LokiMikey

“the leveled playing field”

[Farza 🇵🇰🇺🇸 @FarzaTV]

This is Farzapedia.

I had an LLM take 2,500 entries from my diary, Apple Notes, and some iMessage convos to create a personal Wikipedia for me.

It made 400 detailed articles for my friends, my startups, research areas, and even my favorite animes and their impact on me complete with backlinks.

But, this Wiki was not built for me! I built it for my agent!

The structure of the wiki files and how it's all backlinked is very easily crawlable by any agent + makes it a truly useful knowledge base.

I can spin up Claude Code on the wiki and starting at index.md (a catalog of all my articles) the agent does a really good job at drilling into the specific pages on my wiki it needs context on when I have a query.

For example, when trying to cook up a new landing page I may ask:

"I'm trying to design this landing page for a new idea I have. Please look into the images and films that inspired me recently and give me ideas for new copy and aesthetics".

In my diary I kept track of everything from: learnings, people, inspo, interesting links, images.

So the agent reads my wiki and pulls up my "Philosophy" articles from notes on a Studio Ghibli documentary, "Competitor" articles with YC companies whose landing pages I screenshotted, and pics of 1970s Beatles merch I saved years ago. And it delivers a great answer.

I built a similar system to this a year ago with RAG but it was ass.

A knowledge base that lets an agent find what it needs via a file system it actually understands just works better.

The most magical thing now is as I add new things to my wiki (articles, images of inspo, meeting notes) the system will likely update 2-3 different articles where it feels that context belongs, or, just creates a new article.

It's like this super genius librarian for your brain that's always filing stuff for your perfectly and also let's you easily query the knowledge for tasks useful to you (ex. design, product, writing, etc) and it never gets tired.

I might spend next week productizing this, if that's of interest to you DM me + tell me your usecase!

[LokiMikey @LokiMikey]

@axelar @solana

[Elon Musk @elonmusk]

Stand By Me

[LokiMikey @LokiMikey]

@axelar @solana

[LokiMikey @LokiMikey]

@scottmelker @SenWarren @pocahontas?

[LokiMikey @LokiMikey]

@axelar

[LokiMikey @LokiMikey]

@scottmelker @grok how good is Bernstein at predicting markets. Show me stats

[LokiMikey @LokiMikey]

@NoLimitGains @grok when did this happen?

[Axelar Network @axelar]

you met me at a very multichain time in my life

[LokiMikey @LokiMikey]

@BSCNews @chainlink @grok at the pace they have been buying for the reserve how long till they buy up $1billion worth

[Axelar Network @axelar]

interoperability 🤝 global payments

Axelar × @Mastercard

[LokiMikey @LokiMikey]

@LuisMLeitao @redpilldispensr @grok @grok what’s happening here is it real

[LokiMikey @LokiMikey]

@WatcherGuru @grok what happened with South Korea to trigger this sell off

[LunarCrush @LunarCrush]

AI social activity just hit levels we've never seen before.

6M activity
- AI mentions: +268%
- Unique creators posting about AI: +232%
- Current sentiment: 87% bullish

But beneath the surface, the conversation is splitting in two.
🧵...

[NoLimit @NoLimitGains]

🚨 INSANE:

China’s gold reserves just reached an all-time high of $375 BILLION.

What do they know?

[LunarCrush @LunarCrush]

The last time ALL of the top Bitcoin treasuries were positive over a 24 hour period?

Based on the data, it was April 9, 2025. That's the Trump tariff pause day. That day was the single strongest macro + $BTC combo day in the past year where everything went up together.

[Stellar @StellarOrg]

Stellar went live on @axelar! This integration is another step towards accelerating onchain finance for institutions.

https://t.co/i1LcZOvk3p

[The ₿itcoin Therapist @TheBTCTherapist]

Me in 2009 instead of buying Bitcoin

[The ISO GOAT @XrpKing09531420]

Strap in

[Will Meade @thechartdr]

Today is OpEx
PCE, the Fed’s favorite inflation indicator came in hotter than expected,
GDP was a disaster but deflationary.
And the Supreme Court is likely to rule on Trump’s Tariffs this morning.
Buckle up!