Examples

Real brand kits. Real posts.

What flypost.aidoes with one URL across different brands: palette, voice, content pillars, and a real post in each platform's native chrome.

MyntBit

EdTech · Quant Finance

The LeetCode for Quants.

myntbit.com

Palette

Voice

Direct · technical

no fluffinsider voicestructured

Pillars

Interview prepQuant career tracksTrading conceptsComp & roles

Sample post · X

MyntBit
MyntBit
@myntbit·Just now

What Jane Street actually screens for in a quant phone interview Most quant interview prep online is recycled brainteasers. We broke down what the desks at Jane Street, Citadel, and Two Sigma actually test for, by role.

LynkWay

EdTech · Test Prep

AI-powered MCAT prep for ambitious pre-meds.

lynkway.com

Palette

Voice

Confident · empathetic

practicalencouragingdata-driven

Pillars

Adaptive learningMCAT subjectsSpaced repetitionProgress analytics

Sample post · LINKEDIN

LynkWay
LynkWay·1st
Just now·

The MCAT study method that actually compounds Generic prep treats every section the same. Adaptive practice targets the exact concepts you keep missing, so your weak areas stop staying weak.

LikeCelebrateLoveYou and 248 others
32 comments·7 reposts

TrendBetter

Creator Tools · AI

AI audience simulation for creators.

trendbetter.ai

Palette

Voice

Sharp · creator-native

punchydata-drivenplayful

Pillars

Audience intelligenceContent testingCreator growthTrend prediction

Sample post · X

TrendBetter
TrendBetter
@trendbetter·Just now

Know how your next post lands before you hit publish Stop guessing what your audience wants. Simulate how a post performs against your audience first, then ship the winner.

Kronos Labs

AI Infrastructure · B2B

Intelligence without the excess.

kronoslabs.org

Palette

Voice

Precise · technical

benchmark-drivenno hypeefficient

Pillars

Efficient LLMsOpen-source hostingDomain fine-tuningInference optimization

Sample post · LINKEDIN

Kronos Labs
Kronos Labs·1st
Just now·

80% lower carbon per inference, without giving up capability Bigger isn't smarter. We engineer language models for maximum capability per watt: 2.5x training efficiency, 2x lower inference cost, fully hosted.

LikeCelebrateLoveYou and 248 others
32 comments·7 reposts

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