Avi Patel ✓
@avipat_ · New York · joined 19 Oct 2021
23, founder @useKled
23 197Followers
1 085Following
1 769Posts total
6.6MViews on collected posts
Latest posts
Looking for new posts…
Kled has registered over 15 million file records on the Trace Audit Portal in just a few days.
Four multi billion dollar frontier AI labs have already begun using Trace to verify the integrity and provenance of Kled's data before making purchases.
This is only the beginning. ht
43.6K views · 287 likes
· 23 reposts · 49 replies
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4 months later Kled’s V3 mobile app is finally on my phone. Prepare yourself, I love my team. https://t.co/1AlhP16N4y
29K views · 259 likes
· 18 reposts · 19 replies
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Kled is coming to android. Pre-registration live today on the Google Play Store: https://t.co/bxvbYgD1Ti
The most requested addition to the company since we launched the app a few months ago.
This update should greatly increase Kled’s market share and will be followed with a ht
63.9K views · 266 likes
· 39 reposts · 37 replies
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@avipat_ Why have equity + token? Would love to understand how both separately accrue value over time
3K views · 22 likes
· 0 reposts · 3 replies
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@avipat_ All capital will be market bought on the open market and not OTC.
4.6K views · 67 likes
· 5 reposts · 5 replies
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Starting today, several of our existing equity investors and institutional investors are continuing to build a collective multi seven-figure position in $KLED.
Our equity round is now officially closed until our Series A, and I am personally directing any new institutional
271.9K views · 688 likes
· 52 reposts · 79 replies
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@avipat_ It’s actually kinda crazy how much you’ve stuck with this.
I thought it was all Garbo when you first launched but this is impressive gg
9.5K views · 57 likes
· 1 reposts · 4 replies
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eval sets are continuously built to surface model failures and identify the specific data required to close those gaps.
kled then actively steers contributor participation toward producing those high-value human datasets. https://t.co/LCBvMDAXel
27.2K views · 84 likes
· 3 reposts · 3 replies
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you can download kled on the app store today:
https://t.co/VgU1bj24mA https://t.co/QnQVSHnRun
25.4K views · 120 likes
· 4 reposts · 11 replies
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the result is clean, labeled human datasets that can be tailored for model training at scale.
radiology scans, urban mapping, in-home egocentric tasks, etc. https://t.co/0nEFvvDZWk
17.2K views · 82 likes
· 3 reposts · 1 replies
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privacy law and compliance with HIPAA, GDPR, and related regulations are top of mind. ML systems are built to anonymize and remove sensitive information from uploads.
once sensitive data is removed and originality is confirmed, fine-tuned multimodal models are run to label the h
18.6K views · 82 likes
· 4 reposts · 4 replies
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kled launched with no waitlist ≈3 weeks ago and is now the fastest growing app in 14 countries, hitting #1 on the app store in markets like malaysia.
the average kled user is uploading more data per day than the average instagram, facebook, tiktok, snapchat, and x user.
0 https
22.9K views · 103 likes
· 6 reposts · 2 replies
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kled ai is the consumer application layer that drives participation towards data that matters.
and rewards users for their participation in uploading that data. https://t.co/dPQBfjqKhO
24.4K views · 108 likes
· 5 reposts · 3 replies
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to build this network, contributors must be rewarded for their contributions.
extracting data does not create participation where it matters, consent and incentives do.
for example: platforms like facebook sell casual user content, but they cannot compel people to upload
26.7K views · 100 likes
· 3 reposts · 5 replies
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automation is the fastest-growing field since the internet.
robotic systems, agents, and autonomous software must mimic human behavior to become useful tools for the future.
ergo, building a large-scale network of opt-in human data contributors to train these systems is a https
35K views · 159 likes
· 12 reposts · 4 replies
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we built the largest opt in human data collection effort in history.
- 3 million files uploaded daily
- 200,000+ data contributors in 2 weeks
- data contributors earning up to $6,400 per month
12,000+ structured datasets created spanning egocentric data, medical data (e.g., htt
5.8M views · 3K likes
· 258 reposts · 239 replies
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If I were a16z, yc, or sequoia, I’d be aggressively investing in startups that are building novel ways to collect and annotate real-world data.
> Billions of hours of driving data
> Factory workers interacting with appliances and heavy machinery
> Audio segmentation with deep
210.5K views · 2.1K likes
· 135 reposts · 191 replies
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Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
24.4K14 Jan
22.9K
18.6K
17.2K
25.4K
27.2K
9.5K15 Jan
271.9K27 Jun
4.6K
4.3K
3K
63.9K28 Jun
29K29 Jun
43.6K1 Jul
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.48%14 Jan
0.49%
0.48%
0.50%
0.54%
0.33%
0.66%15 Jan
0.32%27 Jun
1.73%
0.74%
0.82%
0.55%28 Jun
1.04%29 Jun
0.83%1 Jul
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes68.0%7 518 in total
Reposts5.2%572 in total
Replies6.0%662 in total
Quotes1.9%212 in total
Bookmarks18.9%2 095 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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