PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 1 hour 34 minutes 13 seconds
Memory
Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB
Keys
Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
15 / 1 024 max
Total
194 654
Rejected
0
llm:c5d05014100b5fd6377223ed092bc9f4aea5039fe1cb1c79797ac3a47416e6e4
Edit
**The most important numeric metric is `Amount in USD`, the reported size of each funding deal.** It is the only true measure in the table and the basis for the dataset's decisions on ticket sizes, rounds and funding momentum. The column is stored as text with Indian digit grouping (e.g. `3,90,00,00,000`). It was parsed into a numeric `amount_usd` for these queries.
**Highest records** (shown in the rendered result)
- **Rapido Bike Taxi**, Series B, 27/08/2019: $3.9 billion (Sr No 61).
- **Flipkart**, Private Equity, 11/08/2017: $2.5 billion (Sr No 652).
- **Paytm**, Private Equity, 18/05/2017: $1.4 billion (Sr No 831).
- **Flipkart**, Private Equity, 21/03/2017: $1.4 billion (Sr No 967).
- The first "highest" row, **Drums Food** (Sr No 1563), has no amount (`nan`). It appears only because missing values sorted to the top, so it is not a real maximum.
The Rapido figure looks suspect. It is far above every other deal and sits in a 2019 row, while most of the data falls in 2015–2017. It may be a data-entry or unit error, so check it before using it as the dataset's largest deal. The Flipkart and Paytm amounts are the largest values that look plausible.
**Lowest records**
- The minimum is **$16,000**, shared by at least five Seed Funding deals, all dated 19/01/2015.
- The five shown are Hostel Dunia, Play your sport, Yo Grad, Enabli and CBS (Sr Nos 3018–3022).
- All five have no industry vertical or city recorded.
- Because of the tie, "the" lowest deal is not a single record. Other deals at this value may exist beyond the five displayed.
**Takeaway:** deal sizes run from about $16K seed cheques to billion-dollar private equity rounds, a range of more than five orders of magnitude. Averages are therefore heavily skewed by a handful of outliers. For benchmarking, medians by round type are more reliable. Missing amounts should also be excluded explicitly.