Companies · Mobility / Logistics
Surabaya · East Java, Indonesia; Makassar, South Sulawesi, Indonesia · Mobility / Logistics · founded 2017 · http://superapp.id/
Diligence memoA one-page analyst read on Super — recommendation, valuation, rhythm, risks.→Super: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Super is one of 431 Mobility / Logistics companies tracked from Surabaya, East Java, Indonesia; Makassar, South Sulawesi, Indonesia, on record since 2017. By capital raised it ranks mid-pack (ahead of 68% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Super is the first and leading Indonesian social commerce platform
We are building Pinduoduo for Indonesia by enabling community leaders to become retailers within their communities, starting by selling daily products through the Super app. We use technology to: 1) Help community leaders find the best price 2) build the lowest cost logistics network 3) facilitate communication for this social buying behavior
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 431 companies in Mobility / Logistics. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 68% of sector peers (real $). Modeled value above 68% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Super is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 007 TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 05060 TAXI AS | Mobility / Logistics | — | — | — | same sector |
| 1-10 Logistics Center, LLC | Mobility / Logistics | Series A | $6.2M | $72.3M | same sector |
| 123 FLYTTING & TRANSPORT AS | Mobility / Logistics | — | — | — | same sector |
| 1 2 3 LØFT AS | Mobility / Logistics | — | — | — | same sector |
| 1978 INVEST AS | Mobility / Logistics | — | — | — | same sector |
| 1KELT AS | Mobility / Logistics | — | — | — | same sector |
| 1TIL2 AS | Mobility / Logistics | — | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| QUIK Building the operating system for business in LATAM | Mobility / Logistics | — | — | 75% |
| Titipku Super Hyperlocal Marketplace for SMEs in Indonesia | — | — | — | 74% |
| Super Spar South African company. Sector: food retail sector. | food retail sector | — | — | 74% |
| Bakool Group buying for Fresh in Indonesia's tier 2 cities | — | — | — | 73% |
| 99minutos The fastest shipping for online shopping | Mobility / Logistics | — | — | 73% |
| Tough Commerce Shopify for construction. | Mobility / Logistics | — | — | 73% |
| Gobillion Pinduoduo for India | Ecommerce / Retail | — | — | 72% |
| Superfio Brazilian company, based in Fortaleza, CE. Sector: Consumer / Retail. | Consumer / Retail | — | — | 72% |
See where Super sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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