PHPMem v2.0.1

Version
1.6.45
Uptime
16 days 19 hours 36 minutes 48 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
14 / 1 024 max
Total
191 848
Rejected
0
llm:ae4bb60b9bce9592139a3112bf4ed023d9c61aff0dfccc599556395263b3d22d
TTL 6 days 7 hours 50 minutes 15 seconds Size 2,13KB Export
Edit
**The most surprising finding is that the same companies show wildly different funding amounts from one month to the next, and the April amounts are almost always the biggest.** The dataset looks like a list of distinct monthly rounds, but the repeats suggest it isn't one. - **Pine Labs** appears in four months with $20M (Jan), $150M (Feb), $50M (Mar) and $1.2B (Apr). The April figure is 60 times the January one. - **The April figure is larger than the earlier one for every repeated company that has two comparable amounts.** - Xpressbees: $300M (Feb) → $577.6M (Apr). - Licious: $150M (Mar) → $488.7M (Apr). - Chargebee: $250M (Feb) → $468.2M (Apr). - DealShare: $45M (Feb) → $624.8M (Apr), about 14 times larger. - Classplus: $70M (Mar) → $129.5M (Apr). - Mamaearth: $52M (Jan) → $110.8M (Apr). - **The stage often stays the same across those rows**, for example Series F for Xpressbees and Series D for Classplus. This suggests they are the same round re-reported or revised, not new rounds. - **Some April amounts are malformed.** Values like `$624.800,000`, `$468.200,000` and `$110.800,000` use a period as the thousands separator, and Livspace's `$431.6` has no magnitude at all. Securden appears twice in April with `$11.700,000` and `$11,700,000`, which is one record in two formats. These strings can't be summed as written. - **Swiggy** shows $700M in January and "Undisclosed" in April. The amount column holds 35 "Undisclosed" values and 25 blanks, which is a large share of the 446 rows. The May sheet is also mostly empty: 19 of its 42 rows have no company name, and only one of them has an amount or stage (`6400000`, `$Series A`). **Implication:** summing Amount across the five monthly sheets would double-count companies and mix formats. A "total funding" figure would be unreliable, and the April total would be inflated. The same-stage pattern is my reading of the evidence, not something the data confirms. These are the 14 repeated companies in the output above, not a full audit of the 446 rows.