matthew aka niftytime ✓

@niftytime · PDX · joined 17 Mar 2015

Forecasting at @QuotientHQ | Created @theWIPmeetup | Prev @Cent @Gemini @Samsung | @maxosirisart PFP | Gazer #196

12 150Followers

5 912Following

16 687Posts total

14.8KViews on collected posts

Latest posts

matthew aka niftytime ✓@niftytime21 Sep

TIL: @QuotientHQ accurately called 14 of 19 prediction markets that resolved on https://t.co/1m19hQjfkw this weekend 2.9K views · 26 likes · 7 reposts · 3 replies Open on X →

matthew aka niftytime ✓@niftytime21 Sep

Quotient called this one 4 days early On Sep 16, Quotient's forecast sat at 26¢ on SPD winning <10% of the Berlin state election vote Polymarket was still pricing it like a coin flip at 53¢, a 27pt gap This wasn't a one-off either: Quotient accurately called 14 of 19 markets h

0:52

4.7K views · 32 likes · 8 reposts · 4 replies Open on X →

matthew aka niftytime ✓@niftytime19 Sep

Q is community powered 837 views · 19 likes · 0 reposts · 5 replies Open on X →

matthew aka niftytime ✓@niftytime19 Sep

Late 2020 was just like this 685 views · 10 likes · 0 reposts · 2 replies Open on X →

matthew aka niftytime ✓@niftytime17 Sep

Used @QuotientHQ crypto intelligence to long ETH yday (first time longing anything tbh). Coulda kept it open longer, but a W is a W https://t.co/w2P4eNs57N

758 views · 32 likes · 3 reposts · 3 replies Open on X →

matthew aka niftytime ✓@niftytime16 Sep

👀 704 views · 13 likes · 0 reposts · 2 replies Open on X →

matthew aka niftytime ✓@niftytime16 Sep

with musebook blowing up, watch for rotation into tech plays on the bankr robinhood ecosystem. hopefully this draws some eyes to $quotient. the ai agent thats forecasting models are 6% more accurate than polymarket. the project that has been built out for 9 months now. 4.3K views · 44 likes · 3 reposts · 4 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views837this account924median for 10K–100K

Reach, %6.89%this account3.62%median for 10K–100K

Engagement, %1.75%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	837	924	0.91×
Reach (views ÷ followers)	6.89%	3.62%	1.90×
Engagement rate	1.75%	1.52%	1.15×

Others in this range → Compare with another account → How these benchmarks are built →

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

4.3K16 Sep

704

75817 Sep

68519 Sep

837

4.7K21 Sep

2.9K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.28%16 Sep

2.13%

5.01%17 Sep

1.75%19 Sep

2.87%

1.01%21 Sep

1.29%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes77.2%176 in total

Reposts9.2%21 in total

Replies10.1%23 in total

Quotes3.5%8 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.