Investigación en inglés. La investigación de esta página (título, briefing, fuentes) está escrita en inglés y no se traduce automáticamente. Solo se traduce la interfaz.

Idea nuevaConsumer software

DigUp-powered Find-It

hace 3 semanas · Evaluada el 22 oct 2026 · ID HBV-261022-05

Título provisional: DigUp-powered Find-It for WhatsApp media and downloads (working name)

Resumen

BriefingVerificadoAutodeclaradoHipótesis

Benchmark: ARahim3/DigUp (https://github.com/ARahim3/DigUp): created 8 Oct 2026 20:37 UTC; 5,445 total stars and 401 forks at 22 Oct 2026 08:07 BRT (GitHub REST API repos/ARahim3/DigUp; pending browser check); stars in the last 7 days ≈1,312 (OSS Insight stargazers/history, 15–22 Oct; pending browser check), daily trend DECLINING: 15 Oct 487 → 18 Oct 217 → 21 Oct 116 (OSS Insight).…

Leer el resto

Not on GitHub trending weekly page at 08:10 BRT. License: MIT (Verified). Uses Google DeepMind EmbeddingGemma 2 (Apache 2.0, per README). Maintainer offers no hosted/paid version (README: "Free and open source. Everything runs on your computer"). Wrappers: GitHub search shows 2 small derivatives (Whiteknight07/digup-launcher 5★, Nuu-maan/omarchy-digup 5★); no consumer-packaged wrapper found. README badge shows Trendshift #1 repository of the day for Swift (Self-reported badge). For engineers: GitHub releases, beta Windows/Linux builds, English-only UX. Existence check: Checked 22 Oct 2026: DigUp itself is generic desktop search for engineers; Apple Spotlight / Google Photos search do not cover WhatsApp Desktop media plus voice notes in one place; no product found that packages on-device multimodal search specifically for WhatsApp media in Portuguese/Spanish. X: 384 posts/7d (Flat 2% Fri→Wed (full UTC days: Fri 16 60 → Wed 21 59); peak Sun 18 73; Wed 21 is 19% below peak; window 2026-10-15 10:05 UTC → 2026-10-22 10:00 UTC (X API 7-day limit forced a 10:05 start; Thu 15 and Thu 22 are partial UTC days; full days Fri 16 → Wed 21)). Revenue hypothesis: ~$2K–$8K/month at month 6 (HYPOTHESIS: 700–2,500 Pro users × ~$3).

DescripciónHipótesis

"Describe it, find it" for normal people: a Portuguese/Spanish/English desktop app that indexes WhatsApp Desktop media, Downloads and screenshots on-device, so "the boleto from the school" or "mom's audio with the address" is one sentence away. Who: Adults who live in WhatsApp and lose files in it — parents, small-business owners, freelancers — on Mac/Windows; Brazil and Spanish LatAm first, then global.…

Leer el resto

Pain: WhatsApp groups bury PDFs, photos, audio and screenshots; search only matches file names or message text, so people scroll for minutes or ask again. Monetization: Free tier (one folder); Pro one-time license or ~US$3/month for WhatsApp media + voice-note search, unlimited folders and auto-reindex (hypothesis); Pix/Stripe. Build: 2–3 agent-weeks (fork DigUp under MIT with attribution, PT/ES UX, WhatsApp Desktop folder presets, voice-note transcription, signed installers, license keys; landing + checkout on Vercel); stack: DigUp fork (Swift/Tauri, llama.cpp, EmbeddingGemma 2); local speech-to-text; Next.js landing on Vercel; Stripe/Pix license server. GTM: SEO/GEO for "achar foto antiga WhatsApp", "buscar áudio WhatsApp"; faceless screen-recorded demos; referral licenses; GitHub credit to upstream.

Cliente objetivo

Adults who live in WhatsApp and lose files in it — parents, small-business owners, freelancers — on Mac/Windows; Brazil and Spanish LatAm first, then global.

Problema

WhatsApp groups bury PDFs, photos, audio and screenshots; search only matches file names or message text, so people scroll for minutes or ask again.

Por qué esta puntuación

Por qué obtuvo una puntuación menor: Desktop installs are heavier than web; Apple/Google may ship similar on-device search; WhatsApp Desktop folder formats may change.

Ventaja defensivaHipótesis

WhatsApp-specific UX: Upstream is generic; presets, voice-note search and PT/ES copy make it consumer-grade. Being first on PT/ES search queries for lost WhatsApp files. Status: Hypothesis.

Señales de demanda

Publicaciones en X (7 días)

384

Tendencia de la señal

Flat 2% Fri→Wed (full UTC days: Fri 16 60 → Wed 21 59); peak Sun 18 73; Wed 21 is 19% below peak

Demanda en la web

DigUp: 5,445 total stars (GitHub API, 22 Oct 08:07 BRT) and ≈1,312 stars in the last 7 days, declining daily (OSS Insight) — pending browser check. X query 384 posts/7d is noisy ("digup" is a common word). The README demo shows cross-language search (English query finds Bengali/Arabic notes).

Mercado y competidores

TAM

Not sized this run — Scope: Personal file search, global excl. China. Method: No report fetched. (Basis: n/a)

SAMHipótesis

~$0.5M–$2M / yr (hypothesis) — Scope: PT/ES WhatsApp Desktop power users. Method: HBV assumption. (Basis: Hypothesis)

SOMHipótesis

~$24K–$96K ARR (hypothesis) — Scope: Month-6 run-rate. Method: From revenue hypothesis ×12. (Basis: Hypothesis)

Competidores

DigUp (free OSS); Apple Spotlight and Photos search; Google Photos; Windows search; paid desktop search tools; WhatsApp's own message search (text only).

Modelo de negocio

MonetizaciónHipótesis

Free tier (one folder); Pro one-time license or ~US$3/month for WhatsApp media + voice-note search, unlimited folders and auto-reindex (hypothesis); Pix/Stripe.

Hipótesis de ingresos (mensual)Hipótesis

~$2K–$8K/month at month 6 (HYPOTHESIS: 700–2,500 Pro users × ~$3).

Jobs to be done

When I know someone sent it on WhatsApp, I want to find it by describing it in my words, so I can stop scrolling and asking again.

HXC

Patrícia, 38, Curitiba (illustrative) · Runs a small bakery; 40 WhatsApp groups; constantly hunting invoices and audios. Buying signal: Would pay a one-time fee to find any file by describing it.

Construcción y go-to-market

Stack tecnológico

DigUp fork (Swift/Tauri, llama.cpp, EmbeddingGemma 2); local speech-to-text; Next.js landing on Vercel; Stripe/Pix license server

Canales de GTM

SEO/GEO for "achar foto antiga WhatsApp", "buscar áudio WhatsApp"; faceless screen-recorded demos; referral licenses; GitHub credit to upstream

Riesgos

Riesgo principal

Desktop installs are heavier than web; Apple/Google may ship similar on-device search; WhatsApp Desktop folder formats may change.

Todos los riesgos

Value: Attention — Pain obvious, WTP unproven | Usability: Attention — Desktop install friction | Feasibility: Supported — Upstream works on-device (MIT) | Business Viability: Attention — Platform incumbents

Siguiente paso de validación

Ship a Mac/Windows beta with WhatsApp folder presets in 14 days; kill if fewer than 500 installs or <5% Pro conversion after 30 days.

Fuentes

github.com
GitHub API (repo + search) 22 Oct 2026
X API counts (window above)

ideagithub-wrapperon-device-aifile-searchwhatsappdesktopb2cbrazillatamglobalbenchmark-digup

¿Quieres la próxima el día en que se evalúe?

La puntuación, las fuentes, los riesgos y el siguiente paso, por correo.

ProductBots.ai

¿Te gusta esta idea? Conviértela en un plan con ProductBots.ai.

ProductBots.ai es un Agentic Product OS: agentes que hacen contigo el trabajo de producto, desde el descubrimiento hasta el plan. Descarga el briefing de esta idea y úsalo como punto de partida.

Abrir ProductBots.ai

El archivo del briefing está en inglés.

Ver una vista previa del briefing

# Briefing: DigUp-powered Find-It for WhatsApp media and downloads (working name)

Source: Startup Ideas HQ (HB Ventures), found 2026-10-22. ProductBots Opportunity Score: 61/100, evidence confidence 48%.
Evidence labels (Verified, Self-reported, Hypothesis) are kept as written by the researcher.

## Goal for ProductBots.ai
Turn this idea into a validated MVP plan and a first build. Start from the next validation step; do not assume unlabelled numbers are verified.

## What it is
"Describe it, find it" for normal people: a Portuguese/Spanish/English desktop app that indexes WhatsApp Desktop media, Downloads and screenshots on-device, so "the boleto from the school" or "mom's audio with the address" is one sentence away.

Benchmark: ARahim3/DigUp (https://github.com/ARahim3/DigUp): created 8 Oct 2026 20:37 UTC; 5,445 total stars and 401 forks at 22 Oct 2026 08:07 BRT (GitHub REST API repos/ARahim3/DigUp; pending browser check); stars in the last 7 days ≈1,312 (OSS Insight stargazers/history, 15–22 Oct; pending browser check), daily trend DECLINING: 15 Oct 487 → 18 Oct 217 → 21 Oct 116 (OSS Insight). Not on GitHub trending weekly page at 08:10 BRT. License: MIT (Verified). Uses Google DeepMind EmbeddingGemma 2 (Apache 2.0, per README). Maintainer offers no hosted/paid version (README: "Free and open source. Everything runs on your computer"). Wrappers: GitHub search shows 2 small derivatives (Whiteknight07/digup-launcher 5★, Nuu-maan/omarchy-digup 5★); no consumer-packaged wrapper found. README badge shows Trendshift #1 repository of the day for Swift (Self-reported badge). For engineers: GitHub releases, beta Windows/Linux builds, English-only UX. Existence check: Checked 22 Oct 2026: DigUp itself is generic desktop search for engineers; Apple Spotlight / Google Photos search do not cover WhatsApp Desktop media plus voice notes in one place; no product found that packages on-device multimodal search specifically for WhatsApp media in Portuguese/Spanish. X: 384 posts/7d (Flat 2% Fri→Wed (full UTC days: Fri 16 60 → Wed 21 59); peak Sun 18 73; Wed 21 is 19% below peak; window 2026-10-15 10:05 UTC → 2026-10-22 10:00 UTC (X API 7-day limit forced a 10:05 start; Thu 15 and Thu 22 are partial UTC days; full days Fri 16 → Wed 21)). Revenue hypothesis: ~$2K–$8K/month at month 6 (HYPOTHESIS: 700–2,500 Pro users × ~$3).

## Customer and pain
Target customer: Adults who live in WhatsApp and lose files in it — parents, small-business owners, freelancers — on Mac/Windows; Brazil and Spanish LatAm first, then global.
Pain: WhatsApp groups bury PDFs, photos, audio and screenshots; search only matches file names or message text, so people scroll for minutes or ask again.

## Market and competitors
TAM: Not sized this run — Scope: Personal file search, global excl. China. Method: No report fetched. (Basis: n/a)
SAM: ~$0.5M–$2M / yr (hypothesis) — Scope: PT/ES WhatsApp Desktop power users. Method: HBV assumption. (Basis: Hypothesis)
SOM: ~$24K–$96K ARR (hypothesis) — Scope: Month-6 run-rate. Method: From revenue hypothesis ×12. (Basis: Hypothesis)
Competitors: DigUp (free OSS); Apple Spotlight and Photos search; Google Photos; Windows search; paid desktop search tools; WhatsApp's own message search (text only).
Geography: Brazil first; Mexico, Colombia, Argentina; English global

## Business model
Monetization: Free tier (one folder); Pro one-time license or ~US$3/month for WhatsApp media + voice-note search, unlimited folders and auto-reindex (hypothesis); Pix/Stripe.
Revenue hypothesis (monthly): ~$2K–$8K/month at month 6 (HYPOTHESIS: 700–2,500 Pro users × ~$3).

## Build and go-to-market
Build effort (agent-weeks): 2–3 agent-weeks (fork DigUp under MIT with attribution, PT/ES UX, WhatsApp Desktop folder presets, voice-note transcription, signed installers, license keys; landing + checkout on Vercel)
Time to first revenue: ~2–3 weeks after launch
Tech stack: DigUp fork (Swift/Tauri, llama.cpp, EmbeddingGemma 2); local speech-to-text; Next.js landing on Vercel; Stripe/Pix license server
GTM channels: SEO/GEO for "achar foto antiga WhatsApp", "buscar áudio WhatsApp"; faceless screen-recorded demos; referral licenses; GitHub credit to upstream

## Risks and next step
Main risk: Desktop installs are heavier than web; Apple/Google may ship similar on-device search; WhatsApp Desktop folder formats may change.
Next validation action: Ship a Mac/Windows beta with WhatsApp folder presets in 14 days; kill if fewer than 500 installs or <5% Pro conversion after 30 days.

## Sources
https://github.com/ARahim3/DigUp; GitHub API (repo + search) 22 Oct 2026; X API counts (window above)

Negocio existenteConsumer software· hace 3 semanas
Bouncer-style AI-slop feed filter
One click removes AI-generated images, videos and text from your feeds: a Bouncer-style filter for Portuguese and Spanish speakers that covers YouTube, Instagram and Pinterest on the web, not just X.
54/100
confianza 54%
Por qué obtuvo una puntuación menor: Free, open-source, well-funded leader plus six look-alike extensions; detection accuracy on short video is weak.
Abrir ProductBots.ai →

Investigación, no asesoría de inversión. Los números conservan la etiqueta con la que se publicaron.