Find Singapore-based or Singapore-serving DTC brands selling physical products online in F&B, snacks, tea/coffee, functional food, health, wellness, skincare or beauty — excluding pure restaurants, cafés without e-commerce, and B2B distributors — prioritising publicly listed WhatsApp and phone contacts, with nothing invented.
"great job on this i love it, previously i had exa agent doing the same thing and they came up with the below, could u look through it and find ones that are fitting in ur opinion and everything that u deem recommended for our use case. output the final best of the best most comprehensive of all."
The definitive database merges the original 50, expanded a11 research and the vetted Exa list into 252 deduplicated qualified prospects: 28 Tier A+, 118 Tier A, 57 Tier B and 49 Tier C. Of 128 Exa candidates, 38 were verified on official websites and 77 rows are net new from the Exa review; unverifiable contacts were left blank rather than imported. These counts describe fields in the final rows, not the size of Singapore's total market, and live-web review was performed 2026-10-29.
Bar length is prospects per tier, split by verification status; the small marks to the right count public WhatsApp, other phone, email and named founders in that tier. Hover any segment for the split. Ranking is a sales-prioritisation model, not a prediction of conversion, revenue, ad spend or current Meta activity.
Why-now signals are quoted from each row's recorded growth signal; nothing is inferred beyond the source page.
Keyword counts over each row's growth-signal and fit-reason text; a row can carry several triggers. 152 rows carry at least one explicit growth or recurring-creative signal.
Counts of populated fields across the 252 rows. Public contacts can change; blank means unresolved, not absent. Only publicly listed numbers were recorded.
Official-site-verified records are the strongest evidence, live-web-corroborated records come next, and qualified secondary discoveries require a recheck of website activity and contact ownership before any outreach. Some official pages failed to fetch due to blocking; those prospects were retained only when independent sources qualified them, with status exposed below.
| # | Company | Tier | Score | Niche | Other phone | Founder | Growth signal | Verified | Source |
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This is a bottom-up serviceable prospect universe — not TAM and not a forecast. At the published S$2,800/month, illustrative arithmetic only: 5 clients = S$14,000 MRR, 10 = S$28,000 MRR, 20 = S$56,000 MRR; these are scenarios, not expected outcomes. Operating constraints from the site: static creative only, no video, no ad management, weekly cadence, high-touch approvals, and guarantee exposure. Before scaling outbound, manually verify Meta Ad Library activity, approximate e-commerce scale, likely ad-spend capacity, decision-maker role and gross-margin suitability for the top 25–50 accounts.
Method: 252 deduplicated Singapore DTC prospects (union of the original 50, expanded a11 research and vetted Exa candidates), one row per company ordered by final rank; live-web review 2026-10-29. Fit score (0–100) is a sales-prioritisation model combining DTC fit, visual category, triggers, contactability, decision-maker access and evidence quality — not a conversion prediction. Audit counts come from the precomputed matrix; sector and trigger splits are keyword classifications of row text. Unverifiable contacts were left blank; some official pages failed to fetch and those rows carry their verification status. Long niche and signal texts are truncated for space; full evidence sits at each source link. Multiple independent hosts back the rows; no single URL supports more than half.