Pond logo

Pond

Superhuman for text messages

Summer 2025active2025Website
Artificial IntelligenceProductivityMessaging
Sponsored
Documenso logo

Documenso

Open source e-signing

The open source DocuSign alternative. Beautiful, modern, and built for developers.

Learn more →
?

Your Company Here

Sponsor slot available

Want to be listed as a sponsor? Reach thousands of founders and developers.

Report from 18 days ago

What do they actually do

Pond is a Mac desktop app that connects to your existing iMessage account and helps you manage texts faster. It prioritizes important threads, lets you triage with search and keyboard shortcuts, and offers one‑click draft replies and summaries to speed up responding. The app runs offline‑first on macOS (arm64) and does not require a new phone number; pricing shown includes a Free tier, a $10/month Pro plan, and a custom Business plan for teams (trypond.ai, Terms).

Today, Pond works with iMessage; the team says WhatsApp and other channels are coming soon. Business features focus on AI‑generated drafts/summaries, onboarding help, and custom channels/integrations for teams (trypond.ai, YC).

Who are their target customer(s)

  • Salespeople (SMB and individual reps): High message volume across prospects and customers leads to missed follow‑ups and slow replies. They need faster triage and high‑quality draft responses to protect pipeline and close rates.
  • Real estate agents: Time‑sensitive coordination for showings and offers happens over text, and context gets lost across threads. They need prioritization, quick replies, and recaps to keep deals moving.
  • Recruiters (in‑house and agency): Juggling many candidate and hiring‑manager threads consumes time writing repetitive updates and scheduling. They need summaries and on‑voice templates to stay responsive without retyping.
  • Busy executives/founders: Important requests are buried in noisy personal and work texts. They need a faster way to surface priority threads and send concise replies without living in their phone inbox.
  • Solopreneurs/consultants: Client work and lead capture happen over messages, but organization and polished responses lag. They need lightweight tagging, snoozes, and quick drafts to appear professional and timely.

How would they acquire their first 10, 50, and 100 customers

  • First 10: Use founder and YC networks in sales, real estate, and recruiting; offer free Pro access with 1:1 onboarding to remove setup friction, emphasize iMessage compatibility, and collect testimonials (YC, Terms).
  • First 50: Run a coordinated early launch (e.g., Product Hunt/YC demo exposure) and targeted outreach in relevant Slack/LinkedIn groups; convert trials via fast onboarding calls and early customer case studies (trypond.ai, YC).
  • First 100: Pursue brokerages, staffing agencies, and CRM/concierge partners for pilots via the Business tier with white‑glove onboarding; add WhatsApp/other channels to widen fit while running targeted LinkedIn ads and SEO for top verticals (trypond.ai, Terms).

What is the rough total addressable market

Top-down context:

Large numbers of client‑facing professionals rely on messaging to communicate with customers (sales, real estate, recruiting, solo consultants). The broader market spans millions of professionals who use iMessage or SMS daily.

Bottom-up calculation:

Initial reachable TAM for the current macOS+iMessage scope: assume ~800,000 professionals in target roles actively manage high‑volume client texts on Mac; if 25% would pay $10/month, that’s ~200,000 users and ~$24M in annual revenue potential.

Assumptions:

  • Focus on macOS (arm64) users whose client communication is primarily on iMessage.
  • Willingness to pay averages $10/month (Pro) with limited Business uptake in the near term.
  • Adoption rate among identified professionals is ~25% once multi‑channel support and onboarding mature.

Who are some of their notable competitors

  • Beeper: Multi‑protocol messaging client focused on bridging iMessage and other networks into one app; overlaps on consolidated inbox, but is more of a protocol/bridge than an AI‑first drafting/summarization tool (The Verge).
  • Heymarket: Business SMS and Apple Messages for Business with shared inboxes, templates, automation, and reporting; stronger on team administration and enterprise workflows than local, offline AI assistance (Heymarket Apple Messages for Business).
  • Quo (formerly OpenPhone): VoIP phone numbers with team inboxes and AI features (summaries, suggested replies) for SMBs; overlaps on team SMS workflows but centers on new phone numbers/VoIP rather than indexing a user’s existing iMessage on macOS (OpenPhone AI).
  • Front: Collaborative shared‑inbox platform that can ingest SMS via Twilio, with assignment, rules, and integrations; competes with Pond’s team/business ambitions for multi‑user triage at scale (Front Twilio SMS integration).
  • Textline: Business texting software for customer communication (unified inbox, mass texting, automation); overlaps on business SMS management but not on Pond’s offline‑first personal AI drafting model.