**The deal count shrinks from January to May. Funding value has no reliable trend, and seasonality can't be judged from five months of data.** The dataset has no true date column. The time dimension is the month, taken from which monthly table a round sits in (January to May 2022). `Founded` is company age, not a time axis. **Deal volume: shrinking** - Rounds per month were 115 (Jan), 96 (Feb), 98 (Mar), 95 (Apr) and 42 (May). - Most of the decline happens between January and February. After that, volume is flat at roughly 95–98 per month. - May's 42 rows are probably a partial or messy month, not a real collapse. The card notes that some May rows are misaligned or blank, and only 21 May rows have a parseable amount. **Funding value: not reliably trending** - Monthly totals from step 0 were $4.10B (Jan), $3.49B (Feb), $2.85B (Mar), $45.3B (Apr) and $0.31B (May). - April's $45.3B is not credible as a real jump. `Amount` is free text with inconsistent formats, such as `$11.700,000`, `$221.5` and `$23`, which look like decimal-comma or millions-unit entries. A few very large rounds ($5B, $2.5B, $1.7B) also dominate the total. - The median round size rose from $5.45M (Jan) to $6M (Feb), $11M (Mar) and $30M (Apr), then fell back to $5.5M in May. That looks like larger rounds through April, but the April and May medians rest on messy parsing and a partial month. - Undisclosed amounts were 6 (Jan), 7 (Feb), 12 (Mar) and 10 (Apr), so more rounds were hiding their size in March and April. **Seasonality** Five months of one year can't separate seasonality from a trend. The only pattern visible is an early-year drop in deal count, which could be a January bunching effect or noise. **Caveats** - The amount figures depend on my parsing of inconsistent text, so treat the totals as approximate. - May is incomplete and partly misaligned. - To judge the value trend properly, the amounts would need cleaning first (decimal-comma formats and unit-less values), and ideally a longer history.