Median round size is over 5 priced rounds this investor joined (the investor's own cheque is rarely disclosed). "First seen" is the first deal in our data.
Sector concentration
Deals by sector · gradient = your core sectors
Sample size: n = 6Highlighted: core sectors of the active profile.
Sector fitConsumer Internet → pre-owned goods marketplace loosely adjacent to commerce3/30
Stage fitSeed, in mandate20/20
Cheque fit$2.6M, within $500K–$20M10/10
Tracked investorNo tracked investor
24Relevance 24/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.xStep⚪ ContextContext: scores 20–39. Market background, not a mandate fit.undisclosed· Undisclosed· Healthtech· 1 SeptHealthtech → missing sub-sector evaluated on core sector · Amount undisclosed (neutral, not penalised)single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitHealthtech → missing sub-sector evaluated on core sector
62Relevance 62/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Echovane🟠 HighHigh: scores 60–79. A strong fit with this mandate.$1.0M· Pre-seed· AI Applications· 25 AugAI Applications → Application Layer matches applied AI · Pre-seed, in mandatesingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Sector fitAI Applications → Application Layer matches applied AI
31Relevance 31/100 for this profile. Context: scores 20–39. Market background, not a mandate fit. Open the row for the breakdown.Bruno Milano⚪ ContextContext: scores 20–39. Market background, not a mandate fit.$731K· Undisclosed· D2C & Commerce· 20 Aug$731K, within $500K–$20M · D2C & Commerce → generic D2C unlisted specific sub-sectorsingle sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗
single sourceOnly one publication has reported this round so far. Treat the numbers as provisional until a second source confirms.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
74Relevance 74/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.HomeRun🟠 HighHigh: scores 60–79. A strong fit with this mandate.$12.0M· Series A· Quick Commerce· 6 AugQuick Commerce → Quick Commerce matches core mandate · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Consumer services company operating in quick commerce.
74Relevance 74/100 for this profile. High: scores 60–79. A strong fit with this mandate. Open the row for the breakdown.Revspot🟠 HighHigh: scores 60–79. A strong fit with this mandate.$4.8M· Series A· AI Applications· Bengaluru· 29 JulAI Applications → Application Layer matches applied AI · Series A, in mandate✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.Inc42 ↗+1
✓ 2 sourcesVerified: 2 independent publications reported this round and agree on the key facts.backfillBackfill: collected from historical articles to build the baseline, not from the live daily run.
Raw 54.7 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 54.7
18/30
Stage fitRound not named in the article0/20
Cheque fitAmount undisclosed (neutral, not penalised)4/10
Raw 24 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 24
30/30
Stage fitPre-seed, in mandate20/20
Cheque fit$1.0M, within $500K–$20M10/10
Tracked investorNo tracked investor0/12
Geography fitCity not reported0/5
RecencyBefore the current digest window0/5
Ecosystem significance75th pct cheque for Pre-seed × AI Applications (n=8); investor tier 97th pct (Titan Capital); 1 source12.9/18
Raw 62 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 62
D2C & Commerce → generic D2C unlisted specific sub-sector
Raw 31 × confidence 0.85Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 31
Ecosystem significance71th pct cheque for Series A (all sectors) (n=54); investor tier 100th pct (Nexus Venture Partners); 2 sources13.6/18
Raw 73.6 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 73.6
Ecosystem significance25th pct cheque for Series A × AI Applications (n=10); investor tier 98th pct (Info Edge Ventures); 2 sources9.4/18
Raw 74.4 × confidence 1Points from the rows above, multiplied by how sure we are of the facts (fewer sources or disputed fields lower it), then capped at 100.Score 74.4