#Job for real estate system

1 messages · Page 1 of 1 (latest)

north bolt
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I’m looking for someone who is very tech savvy and truly knows what they’re doing. I need an AI tool or app built that can pull foreclosure property lists and then take that list and determine what’s owed on each property along with the AVM. This needs to be built the right way pulling from legitimate data sources, solid automation, and something that runs consistently without constant issues. I’m not interested in something thrown together or half-working. I’m looking for a long-term relationship. I’m willing to pay weekly or monthly to make sure it’s maintained properly and stays optimized. If you’re not advanced or haven’t built real data systems before, please don’t waste my time. I understand what something like this is worth, and I’m more than willing to pay well for the right person.

rancid stratusBOT
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uncut flareBOT
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What you’re describing is less “AI app” and more a licensed-data ETL + valuation pipeline with a thin UI on top. The hard part is getting legitimate foreclosure + lien/amount-owed + AVM data reliably, without scraping/TOS violations.

If you want to attract the right builder (and avoid “half-working”), here are the key decisions + questions to put in the spec:

1) Data scope (this determines everything)

  • Geography: which states/counties? (Foreclosure workflows and record availability vary a lot.)
  • Foreclosure stage: pre-foreclosure / NOD / lis pendens / auction / REO?
  • Update cadence: daily, weekly, intraday?
  • Output fields: address normalization, APN/parcel id, owner, auction date, case #, etc.

2) “What’s owed” is not one number — define it

Do you mean:

  • Mortgage balance (often not directly public)
  • Lien amounts (tax liens, HOA, mechanics, judgment liens)
  • Property taxes owed / delinquent amount
  • Foreclosure judgment amount
  • Total estimated payoff (usually becomes an estimate unless you have a specific licensed source)
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A serious builder will push you to define this precisely because it changes the data providers and legal/compliance posture.

3) AVM: pick an API provider up front

AVMs typically come from licensed vendors (not “AI guessing from Zillow pages”):

  • Examples in the market: ATTOM, HouseCanary, CoreLogic, Quantarium, etc. (availability/pricing varies)
  • You’ll want: AVM value, confidence score, comps (if available), last updated timestamp, and caching rules.

4) Architecture that actually runs “consistently”

A solid implementation usually looks like:

  • Ingestion (APIs/SFTP/feeds) → normalize & de-dupe (address + parcel)
  • Enrichment (liens/taxes/AVM) with retries + rate limiting
  • Store in Postgres + object storage (S3/GCS) for raw files (auditability)
  • Scheduler (Airflow/Prefect/Cron) + monitoring/alerts (Slack/Discord/email)
  • UI: simple dashboard + export (CSV) first, then iterate

5) “Built the right way” checklist you can ask candidates for

Ask them to describe (briefly) how they’ll handle:

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  • Data licensing / TOS compliance (no scraping if prohibited)
  • Idempotent jobs (re-runs don’t duplicate/overwrite incorrectly)
  • Observability: logs, metrics, alerting, failure triage
  • Data lineage: raw → processed → final, with timestamps
  • Cost controls (AVM calls can get expensive fast)
  • Security (API key handling, PII, access control)

6) A realistic delivery plan (filters out weak builders)

Request a phased proposal:

  1. Phase 1 (1–2 weeks): connect one foreclosure source + one AVM source, produce clean exports
  2. Phase 2: “amount owed” definition implemented (often multiple sources), dedupe, monitoring
  3. Phase 3: UI + workflow features, scalability, ongoing maintenance SLA

If you tell me your target states/counties, what you mean by “owed”, and whether you already have preferred providers (or budgets) for foreclosure + AVM, I can help you turn this into a tight one-page spec that serious data engineers can quote accurately.

stone night
uncut flareBOT
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Your outreach is on the right track, but you’ll get a better response if you (a) signal credibility with specifics, (b) show you understand the “owed” + AVM complexity, and (c) ask 3–5 scoping questions so it doesn’t feel like a generic pitch.

Quick upgrades to add

  • Mention which parts you’ve built before (foreclosure ingest, deed/lien/tax enrichment, address/parcel matching, AVM integrations, monitoring).
  • Call out legit data sources / licensing (no scraping if it violates TOS).
  • Ask what they mean by “what’s owed” (tax delinquency vs liens vs judgment amount vs mortgage payoff).
  • Offer 2–3 time windows + your timezone.

A tighter message you can paste

“Hey Bando — I’m a software engineer and I’ve built production real-estate data systems (ingestion + enrichment + valuation pipelines). I can show you a working example that’s very close to what you described (foreclosure list → normalized parcels → enrichment for debt/liens/taxes + AVM), and we can scope what’s needed to customize it for your target markets.

A couple quick questions so I don’t waste your time:

  1. Which states/counties are you targeting and what foreclosure stage (NOD/lis pendens/auction/REO)?
  2. When you say ‘what’s owed’, do you mean taxes owed, recorded liens, foreclosure judgment amount, or an estimated payoff?
  3. Do you already have preferred data providers for foreclosure + AVM (or a budget range)?

If you’re open to it, I can do a 15–20 min call this week and walk through the approach + a realistic build/maintenance plan. I’m available [two time windows] (your timezone?).”