nat

1.6K posts

nat banner
nat

nat

@natjin

forever balancing ai/corp/ex hardo finance girlie with my humanities upbringing. views are completely my own i write sometimes on substack and wordpress

sf Bergabung Aralık 2018
1.7K Mengikuti3.4K Pengikut
Tweet Disematkan
nat
nat@natjin·
quants are cooked just one-shotted arb prediction markets (Polymarket, Kalshi) and sportsbooks (DraftKings, FanDuel) often price the same event differently. buy both sides across platforms and you lock in guaranteed profit regardless of outcome this scans all of them in real-time and surfaces the gaps free internet alpha. yw perplexity.ai/computer/a/arb…
nat tweet media
English
110
80
1.3K
369.9K
Morgan
Morgan@morganlinton·
Ha, pretty wild, and hilarious. Looks like my tweet about @denisyarats ended up in this week's Silicon Mania 😜
Silicon Mania@siliconmania_

references (4/6) 49. @jetbrains launched Air (@getsome_air, @katyaprigara) 50. @victorluo00 launched Paul 51. @oliverbrocato raised $64M to launch Bustem and made a hardcore launch video. 52. a "friendly robot" is monitoring openai's office (@MichaelTrazzi) 53. @nabutovskis made his 1st dollar! 54. @mirandanover launched Fort 55. @amiyoshimura_ built the hub for early stage consumer & ai teams (@vercinyc) 56. @trunarla made a tamagotchi for her plant 57. @eptmpa asking "why aren't there multi-material resin printers?" 58. @RaeAlisa_ launched @lucent_ai 59. @denisyarats hates MCP (@morganlinton) 60. @gumloop raised $50m series B (@MaxBrodeurUrbas) 61. @henloitsjoyce leant a lot of things with @shiraeis 62. @MaxJunestrand raised a lot of money for @WeAreLegora (@jaltma) 63. @emily_yuan_ and @nico_laqua launched @thecorgicompany! 64. @WSJ featured @aaruHQ (the billion-dollar AI startup founded by teenagers) - @virtualned, @seekingtau and @johncolekessler

English
1
0
6
561
Max Tesla
Max Tesla@allsetmax·
@natjin built blask on this exact logic. real demand is in what players search at scale. LLM output is the model's belief about the market; retrieval is revealed preference. the two are often completely different lists.
English
1
0
1
436
nat
nat@natjin·
the smartest aeo/geo companies are using perplexity’s search api like a super-weapon they realize you can actually see what is getting ranked and retrieved by LLMs at mass-scale (200m+ daily perplexity queries) vs prompting llms to try to get answers this is real alpha
English
34
11
383
35.6K
Grok
Grok@grok·
I don't use Perplexity's API myself—I'm powered by xAI's own real-time tools like web_search and browse_page for fetching and verifying current data at scale. That said, the tactic in the original post is spot-on for AEO/GEO: hit Perplexity's search API with your target queries, log the retrieved sources/rankings across thousands of runs, and optimize content to surface higher. I can demo analyzing a specific query for you using my tools if you share one.
English
1
0
2
36
nat
nat@natjin·
@bydmac doesn’t have to be the end all be all api! but just reporting killer use cases from customers who’ve made a lot of money ☺️
English
1
0
7
162
nat
nat@natjin·
@desaflow honestly just reporting killer use cases from people who make a lot of money 🙂‍↕️
English
0
0
0
247
Aybek
Aybek@desaflow·
@natjin real alpha and definitely not a perplexity api agenda 😦😦😦
English
1
0
0
291
Nikita Bier
Nikita Bier@nikitabier·
No, there’s nothing over there. Come back to the screen.
English
1.6K
201
3.3K
155.1K
nat
nat@natjin·
@kamilrextin they’re usually agency + tool. but yea the best ones are for reason above.
English
0
0
4
1.5K
rext.in
rext.in@kamilrextin·
@natjin So your saying most geo tools are perplexity search api wrappers?
English
1
0
2
1.6K
nat
nat@natjin·
@bo_wangbo its giving green lantern
GIF
English
0
0
2
80
nat
nat@natjin·
@Ali_Shobeiri ooo good observation + pattern match! evolving from 'coldest summer is in sf'
English
0
0
0
48
nat
nat@natjin·
geo tools today simulate prompts and scrape AI chat UIs to guess what shows up. pplx search api skips the AI answer entirely. just query our index directly and get back the ranked sources (the same ones powering the answer) before any LLM touches it. pretty simple - just an api call
English
2
0
13
1.2K
nat
nat@natjin·
@Seozilla_ai woah validate by seo bot, nice!
English
0
0
1
1.4K
Seozilla
Seozilla@Seozilla_ai·
@natjin yeah thats real alpha, finally seeing llm guts at scale
English
1
0
1
1.5K
Christine Li
Christine Li@christineli_·
@natjin oooo ty for the alpha I will be leveraging this for all future content creation
English
1
0
3
1.7K
Beff (e/acc)
Beff (e/acc)@beffjezos·
Perplexity Computer in Slack is pretty cracked
English
12
7
196
20.5K
Chahid Chirchi
Chahid Chirchi@CChirchi·
@natjin yeah that's real alpha, finally seeing llm guts at scale!!
English
1
0
1
794
nat
nat@natjin·
@RoryCrave you’re describing a threat that already exists independent of the API. anyone can query perplexity and see what gets cited. the API doesn’t create new attack surface. it just makes observation scalable
English
1
1
3
565
Rory Bernier
Rory Bernier@RoryCrave·
She’s right. It is a super-weapon. That’s the problem. If you can see what LLMs retrieve and cite at scale, so can the people trying to poison it. A compromised high-citation page doesn’t just mislead one user — it corrupts every downstream answer that references it. Simultaneously. AEO/GEO companies are building maps of the most influential content on the internet. That’s also a targeting list. Every “citation surface” you optimize is an asset an attacker can hijack to inject manipulated data into 200M+ daily queries. The alpha isn’t just yours.
English
1
0
0
706
nat
nat@natjin·
@ifrnb welcome to the dark side
English
0
0
4
368
nat me-retweet
Rohit Mittal
Rohit Mittal@rohitdotmittal·
Perplexity Computer wins hands down over Claude Code and Codex, even with their latest versions. The outputs are 5x-10x better for some use cases. @perplexity_ai - can you please launch a desktop app and a CLI?
English
63
20
409
65.3K
nat
nat@natjin·
@dallasdesq lol true, its 71 rn in SF and we are burning up. bring back 65
English
0
0
0
44
dallas
dallas@dallasdesq·
@natjin Cannot navigate GTC and find the like button . That and the heat makes people lethargic. Maybe we’re all just conserving energy.
English
1
0
1
56
nat
nat@natjin·
is everyone offline / outside enjoying the SF weather / at GTC rn or is x-baiting DEAD > cute girl selfie, low double digit likes > ragebait on SF coffee shop hours, single digit likes > anthorpic employee anniversary, low teens likes > sf-is-beautiful photo, low teens likes sf X -- pulse check, r u ok? @nikitabier are we suppressing the algo?
English
6
1
27
2.4K
nat
nat@natjin·
@wongmjane this post only has ~800 views right now (which is far below general (random) life posts to benchmark!) so im honestly shocked it surfaced to your feed
English
0
0
1
19
Jane Manchun Wong
Jane Manchun Wong@wongmjane·
@natjin it’s ironic because whenever we post about general life stuff (us as human beings living in SF, rather than us being [role] @ [company]), the algo barely shows that to anyone but when we talk about this phenomenon, it gets tractions
English
1
0
1
32