PHPMem v2.0.1
Version
1.6.45
Uptime
16 days 22 hours 3 minutes 40 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
192 836
Rejected
0
llm:198c4d8b69be054d87b78aceaad76e750b440dd296ff61cb82693c134e1488a7
Edit
{
"action": "final",
"content": "I combined all five monthly tables (446 funding-round rows, January–May 2022) and ranked the most common values of Location, Sector and Stage. The rendered results show the top 8 for each column.\n\n**Location** is concentrated in a few hubs:\n- Bangalore is the most common at 124 rows (27.8%).\n- Mumbai follows with 62 (13.9%), then Gurgaon with 48 (10.8%).\n- New Delhi has 31 (7.0%), Chennai 27 (6.1%), Noida 15 (3.4%) and Hyderabad 14 (3.1%).\n- 20 rows (4.5%) have no location.\n- Bangalore, Mumbai and Gurgaon together account for about 52% of rows.\n\n**Sector** is more fragmented, and the labels are inconsistent:\n- Financial Services leads with 59 rows (13.2%).\n- Information Technology & Services has 27 (6.1%) and Computer Software 26 (5.8%).\n- Health, Wellness & Fitness has 15 (3.4%), E-learning 12 (2.7%) and E-commerce 12 (2.7%).\n- \"Financial services\" (lowercase s) appears separately with 13 rows (2.9%). It is probably the same sector as \"Financial Services\", so the true share is likely about 16%.\n- 19 rows (4.3%) have no sector.\n\n**Stage** has the most missing data:\n- The largest group is blank, at 127 rows (28.5%).\n- Seed is the most common stated stage with 73 rows (16.4%), then Series A with 56 (12.6%).\n- \"undisclosed\" and Pre-series A each have 37 rows (8.3%).\n- Series B has 26 (5.8%), Series C 19 (4.3%) and Series D 14 (3.1%).\n- Blank and \"undisclosed\" together cover about 37% of rows, so stage is unknown for over a third of rounds.\n\n**Caveats**\n- The categories are free text with inconsistent casing, so counts for the same real category may be split.\n- The May 2022 table has some misaligned or blank rows, which likely inflates the blank counts.\n- Only the top 8 values per column are shown, so the long tail of sectors (roughly 55 distinct labels in a single month) is not covered."
}