Nawed Ali

662 posts

Nawed Ali banner
Nawed Ali

Nawed Ali

@nawed2611

admiring lenses • engineering @goClueso

del/blr Katılım Mayıs 2022
1.1K Takip Edilen272 Takipçiler
Sabitlenmiş Tweet
Nawed Ali
Nawed Ali@nawed2611·
today is our biggest day yet! we @goClueso are LIVE on @ProductHunt 🥳 In just the last 6 months, over 100,000 videos have been created using Clueso. Now it’s time to take it to the next level! - but we need your help
English
3
0
9
1.4K
Nawed Ali retweetledi
Akash Anand
Akash Anand@realAkashAnand·
We locked our entire team in a villa and coded for 50 hours non-stop. YC style. Here's the full aftermovie.
English
4
7
55
4.6K
Nawed Ali
Nawed Ali@nawed2611·
aaj aisa lagra hai kisika to birthday hai lekin mai bhul gya
हिन्दी
1
0
0
42
Atul Pinheiro
Atul Pinheiro@atulpinheiro·
Bar Brine, founded by the same guys behind Brikoven opens this Wednesday. What a stunning space.
Atul Pinheiro tweet mediaAtul Pinheiro tweet mediaAtul Pinheiro tweet media
English
7
2
246
22.4K
Aastha Pal
Aastha Pal@aasthaapaasta·
bohemians indranagar on sat night is the thing in bangalore
Aastha Pal tweet media
English
2
0
23
820
Nawed Ali
Nawed Ali@nawed2611·
bhai jazz club le chalo pls 🫠
HT
1
0
0
115
Nawed Ali retweetledi
Nishkarsh
Nishkarsh@contextkingceo·
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️
English
619
658
5.9K
3.8M
Nawed Ali
Nawed Ali@nawed2611·
5 diet cokes down and no one to stop me 🥱
English
2
0
0
85
Nawed Ali retweetledi
Matilda
Matilda@mansebanjaran·
two blues pretending not to know each other
English
90
12.2K
82.8K
1.9M
Nawed Ali
Nawed Ali@nawed2611·
embarrassment is an under explored emotion
English
0
0
1
51
Nawed Ali
Nawed Ali@nawed2611·
written content is the most intimate content, given major ai interfaces started as text first becaude the content feels more personal, direct. like we’ve been reading books, letters since ages this was always gonna happen like how it did. and its amazing
English
1
0
1
69
Nawed Ali
Nawed Ali@nawed2611·
do you want to proceed?
English
0
0
1
54
shashvat
shashvat@xcarnn·
got 4 extra kanye tickets. selling at cost. B30 row 28 seats 8-11 11217.25 per ticket
English
1
0
1
217
Nawed Ali
Nawed Ali@nawed2611·
guitar riffs on strokes' got me like
English
0
0
0
52
Nawed Ali
Nawed Ali@nawed2611·
too drunk to be evil, so many pretty people
English
0
0
0
53
Nawed Ali retweetledi
♡
@taesdawn26·
same director, all bangers
♡ tweet media♡ tweet media♡ tweet media♡ tweet media
English
13
852
5.5K
222.8K