I Built an AI That Calls Real Estate Leads in 30 Seconds — Using MeDo, Retell AI, and Zero Engineers

May 20, 2026 · 8:26 AM UTC ·5 min read · 0 reactions · 0 comments · 30 views

TL;DR · WeSearch summary

An AI named PropCall Live has been developed to call real estate leads within 30 seconds of form submission. This technology aims to address the significant drop in lead conversion rates due to delayed follow-up calls in the Indian real estate market. The AI utilizes various integrations to score leads, notify sales managers, and conduct voice calls without human intervention.

Key facts

▪Lead conversion in real estate drops 400% if the first follow-up call happens more than 5 minutes after a buyer submits a form.
▪PropCall Live calls every lead within 30 seconds of form submission, significantly improving response times.
▪The AI uses a weighted algorithm to score leads based on budget fit, purchase urgency, and lead source quality.

About this source

DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.

All DEV.to (Top) coverage →

Original article

DEV.to (Top)

Read full at DEV.to (Top) →

Story provenance

Source · retrieval · rights · ranking — open for full record

inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisher	DEV.to (Top)
Canonical URL	https://dev.to/arpit_32f636ff2309b0a6234/i-built-an-ai-that-calls-real-estate-leads-in-30-seconds-using-medo-retell-ai-and-zero-engineers-2glb
Publication time	Wed, 20 May 2026 08:26:44 +0000
Retrieval time	2026-05-20T08:35:01.090Z
Last seen	2026-05-20T08:35:01.090Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	t3WhaYuJX_ah
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 2863442) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Arpit Posted on May 20 I Built an AI That Calls Real Estate Leads in 30 Seconds — Using MeDo, Retell AI, and Zero Engineers #ai #buildinpublic #nocode #showdev ags: showdev javascript ai buildinpublic There's a stat that's been stuck in my head for months. Lead conversion in real estate drops 400% if the first follow-up call happens more than 5 minutes after a buyer submits a form. Most Indian real estate teams call back in 4 to 6 hours.

…

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

Anonymous · no account needed

Discussion

0 comments