Akhil ✓
@akhljndl · nyc · joined 22 Jun 2021
cofounder @moku_hq ⋆ ai research & eng ⚙️
35 698Followers
1 137Following
6 659Posts total
28.7KViews on collected posts
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I gave a set of guest lectures at @JHUCarey this week on building Moku, training AI, and using it to scale.
Big takeaway: people can now build across the entire company stack. Going from 0 → 1 has never been easier.
Thanks @harangju for having me! https://t.co/lyGOQvJJL0
743 views · 12 likes
· 2 reposts · 7 replies
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my full epic line up got ITM in a open contest, where almost everyone else is using full legendaries
will be dropping a guide soon on how to find your edge in Grand Arena https://t.co/32CF6Ssxxx
2.3K views · 47 likes
· 8 reposts · 10 replies
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another layer unlocked https://t.co/czRHM4yLN7
7K views · 29 likes
· 4 reposts · 1 replies
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Grand Arena is servicing MILLIONS of API requests every week.
With AI coding assistants, it's never been easier to find your contest edge and publish tools that thousands of players will use.
Build something great with @Moku_HQ and apply for API access. https://t.co/EUft73Wm8M
1.8K views · 31 likes
· 8 reposts · 3 replies
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rewards flowing
flywheel engaged
grand arena
3.5K views · 35 likes
· 9 reposts · 3 replies
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@akhljndl @TheRoninRadio @Moku_HQ jihoz shuts down rider bruce!
this is sounding dope
pushing boundaries
817 views · 9 likes
· 0 reposts · 0 replies
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@TheRoninRadio @Moku_HQ This was generated using a completely automated pipeline with NO human intervention.
Excited for the day when casters:
- Have recognizable personalities and social presence
- Conduct post-game and pre-game interviews
- Provide spicy and thoughtful takes
359 views · 6 likes
· 0 reposts · 0 replies
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Word on the street says @TheRoninRadio is asking about an AI Spectator Experience for @Moku_HQ's Grand Arena.
Here's a sneak peak at an early version.
Can you see the vision? https://t.co/25lRi4QGHu
12.2K views · 102 likes
· 18 reposts · 15 replies
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1:37
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
12.2K15 Jan
359
81716 Jan
3.5K7 Mar
1.8K20 Mar
7K
2.3K22 Mar
7439 May
Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.11%15 Jan
1.67%
1.10%16 Jan
1.35%7 Mar
2.34%20 Mar
0.49%
2.80%22 Mar
2.83%9 May
Reactions — likes, reposts, replies and quotes — divided by views.
What the audience does
Likes73.2%271 in total
Reposts13.2%49 in total
Replies10.5%39 in total
Bookmarks3.0%11 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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