PHPMem v2.0.1
Version
1.6.45
Uptime
16 days 22 hours 2 minutes 50 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
192 814
Rejected
0
llm:054d54118ee17b2860e40da77547c0640f1099a945350f53738f6b9d8d5acce2
Edit
Across all five monthly tables (446 rows combined), the most common values for Location, Sector and Stage are below. The percentages are shares of all 446 rows, and the ranked tables from the query are shown above.
**Location**
- Bangalore is the most common value by a wide margin, with 124 rows (27.8%).
- Mumbai has 62 (13.9%) and Gurgaon 48 (10.8%).
- New Delhi has 31 (7.0%) and Chennai 27 (6.1%).
- Noida has 15 (3.4%) and Hyderabad 14 (3.1%).
- 20 rows (4.5%) have a blank location.
- The top three cities together cover about 52% of rows.
**Sector**
- Sector is much more fragmented. Financial Services leads with 59 rows (13.2%).
- Information Technology & Services has 27 (6.1%) and Computer Software 26 (5.8%).
- Health, Wellness & Fitness has 15 (3.4%), and E-learning and E-commerce have 12 each (2.7%).
- "Financial services" with a lowercase "s" appears separately with 13 rows (2.9%). Merged with "Financial Services", the sector would have 72 rows (about 16.1%).
- 19 rows (4.3%) have a blank sector.
- The card shows roughly 20 to 55 distinct sectors per month, so the long tail is large.
**Stage**
- The most common "value" is blank, with 127 rows (28.5%).
- Seed has 73 rows (16.4%), Series A 56 (12.6%), Pre-series A 37 (8.3%) and Series B 26 (5.8%).
- "undisclosed" has 37 rows (8.3%). It is a different label from blank, though both mean the stage is unknown.
- Series C has 19 rows (4.3%) and Series D 14 (3.1%).
- Together, blank and "undisclosed" account for about 37% of rows, so a large share of funding rounds have no usable stage.
**Data-quality notes**
- Missing values are common in all three columns, especially Stage. Part of this may come from the May 2022 table, which the card flags as having misaligned or blank rows.
- Label inconsistencies such as "Financial Services" versus "Financial services" mean counts should be normalised before comparing categories.
The numbers come from the single ranked-values query over the five raw tables (step 0, top 8 per column).