# DealMachine vs supermemory

DealMachine records 410,500 monthly visits with +63.1% month-over-month growth and Free Trial, Paid pricing. supermemory records 156,579 monthly visits with -7.7% growth and Contact for Pricing pricing.

| Metric | [DealMachine](https://openaitools.app/tool/dealmachine-com) | [supermemory](https://openaitools.app/tool/supermemory-1) |
| :--- | :--- | :--- |
| Website URL | https://dealmachine.com | https://supermemory.ai |
| Categories | AI Real Estate, AI Assistant, AI Cold Calling, AI Call Center | AI API, Large Language Models (LLMs), AI Developer Tools, AI Agent |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 410,500 | 156,579 |
| MoM Growth Rate | +63.1% | -7.7% |
| Primary Market | United States | United States |
| Direct Visits | 283,814 | 71,163 |
| Review Score | 4.3 | 4.5 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## DealMachine

DealMachine started as a driving-for-dollars app that let investors tag distressed properties from their phone, and has grown into a broader nationwide property data platform. The current product centres on a single search bar: you can look up any address, find the owner behind it, or describe the list you want in plain language and have the AI translate that request into a precise property search across roughly 150 million properties, 240 million people records and 50 million companies.

From a result set you can refine with hundreds of filters such as equity thresholds, ownership length, vacancy status, property type, preforeclosure or tax-delinquent status, then export a property, contact, email or phone list to CSV or push it through the REST API, CLI and webhooks into the tools you already use. A built-in mail app turns saved lists into personalised postcard campaigns with drip sequences and tracking, while the mobile app keeps route tracking and tap-to-tag workflows for driving for dollars.

Plan structure is per-seat with a monthly allowance of data credits. The entry Basic plan starts around $99 per month with 10,000 data credits and grows to Pro with 20,000 credits and premium filters, while the Scale package at $599 per month per package is aimed at agencies and enterprises that need 100,000 records, ten workspace seats, SSO/SAML, onboarding and custom SLAs. Postcards are billed by usage and drop in per-piece price as you prepay larger volumes.

**Pricing & Plans:** Free trial, then paid per-seat plans starting around $99/month with 10,000 monthly data credits. Scale packages at $599/month per package include 100,000 records and 10 seats. Direct mail is usage-based with prepaid volume discounts.

- **Unified property and owner search:** One search bar handles address lookups, owner lookups and plain-language list requests across 150M+ properties, 240M+ people and 50M+ company records.
- **AI list building:** Describe the campaign you want in natural language or upload a CSV, and the AI translates it into a precise property search with 800+ refinements such as equity, vacancy and ownership length.
- **Skip tracing and enrichment:** Append verified phone numbers, emails and 100+ extra data fields to any property or contact list, then export to CSV or deliver it via API.
- **Driving for Dollars mobile app:** Tag distressed properties on the go, track routes for teams, capture photos and pull owner details instantly while still in the field.
- **Direct mail campaigns:** Design, target and mail personalised postcards from saved lists, with automated drip sequences, campaign analytics and usage-based postcard pricing.

**Strengths:** Combines data, skip tracing, field app and direct mail in one subscription instead of several vendors; Very large nationwide dataset with 150M+ properties and 240M+ people records; Plain-language AI search makes complex list building accessible to non-technical users; Team features such as shared workspaces, seat management and priority support on higher tiers

**Limitations:** Data coverage is limited to the United States, so it is not useful for international investors; Data credits are consumed quickly by bulk exports and skip tracing, which can push costs above the headline seat price; Direct mail is billed separately from the subscription and adds up for high-volume campaigns

[Profile (Markdown)](https://openaitools.app/tool/dealmachine-com.md)

## supermemory

Most LLM applications treat memory as an afterthought: chat history is stuffed into the prompt until the window fills up, and everything is lost on the next session or the next model switch. supermemory attacks that problem as infrastructure. Its learner-1 model reads incoming material — conversations, files, URLs, raw data — and performs update, merge, infer and forget operations against a vector-graph database, so learnings stay dense, interconnected and time-aware rather than piling up as an ever-growing transcript.

At request time the relevant memories are injected as tokens directly into the agent's context, which keeps the approach model-agnostic and harness-agnostic. Because learning and memory live outside the model providers, the same accumulated understanding travels with an application whether it runs on Claude, GPT-family models, Gemini or open-weight models, and whether it is driven by an SDK, a plugin or MCP.

The company positions this as the hard part of agent infrastructure and backs it with published numbers: sub-second recall on production traffic, roughly a trillion tokens processed per month, benchmarks on LongMemEval, LoCoMo and ConvoMem, and cost comparisons against markdown-file memory at large corpora. Enterprise features include SOC 2 Type II certification, a HIPAA BAA on higher tiers, GDPR compliance and deployment options ranging from cloud to VPC, on-premises and air-gapped environments.

**Pricing & Plans:** Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

- **learner-1 memory model:** A dedicated model extracts, merges, infers and forgets across stored context so the memory graph keeps improving instead of simply accumulating.
- **Vector-graph memory store:** Learnings link to the entities, sources and moments around them, storing not just content but a time-aware map of how facts relate.
- **Model, harness and MCP agnostic:** Memory lives outside model providers and is used through APIs, SDKs, plugins and MCP, so context carries across models and tools.
- **Real-time context injection:** Relevant memories are injected as tokens into the prompt at request time, giving agents relevant context without unbounded transcripts.
- **Enterprise deployment and compliance:** SOC 2 Type II, HIPAA BAA on higher tiers, GDPR compliance, plus deployment in the cloud, your VPC, your data center or air-gapped.

**Strengths:** Memory is decoupled from model providers, so accumulated context survives model swaps; Rich engineering evidence, including published benchmarks, latency figures and cost comparisons; Multiple integration surfaces — REST API, SDKs, plugins and MCP; Strong enterprise posture with SOC 2 Type II, HIPAA BAA, GDPR and air-gapped deployment options

**Limitations:** Self-serve pricing on the public site is thin, and exact tier costs may require a sales conversation; It is infrastructure rather than an end-user app, so there is real integration work before you see value; Benchmark results and adoption figures are vendor-reported and worth validating against your own workload

[Profile (Markdown)](https://openaitools.app/tool/supermemory-1.md)

## Frequently Asked Questions

### How do DealMachine and supermemory compare in monthly traffic?

DealMachine has 410,500 monthly visits, while supermemory has 156,579. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DealMachine has a month-over-month growth rate of +63.1%; supermemory has -7.7%.

### How does pricing compare?

DealMachine: Free Trial, Paid. Free trial, then paid per-seat plans starting around $99/month with 10,000 monthly data credits. Scale packages at $599/month per package include 100,000 records and 10 seats. Direct mail is usage-based with prepaid volume discounts. supermemory: Contact for Pricing. Pricing is split between self-serve tiers and enterprise contracts, which is why the site lists a contact-for-pricing model. Free, Pro and Max tiers cover standard PDF extraction and personal use, while Scale and Enterprise add advanced document extraction with OCR and figure/diagram descriptions, higher limits, security guarantees such as SOC 2 Type II and HIPAA BAA, and deployment choices including your VPC, your data center or air-gapped setups. Exact figures should be confirmed on the pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Composio](https://openaitools.app/tool/composio) | 2,782,603 | +22.8% | Freemium, Contact for Pricing | Focuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context. | [.md](https://openaitools.app/tool/composio.md) |
| 2 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 3 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 4 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | Offers enterprise-grade scalable vector search and RAG storage, but lacks supermemory's automated agent memory graph abstractions. | [.md](https://openaitools.app/tool/pinecone.md) |
| 5 | [XLeads](https://openaitools.app/tool/xleads-com) | 277,102 | +78.1% | Paid | Features robust real estate wholesaling and lead generation tools, but lacks DealMachine's integrated direct mail marketing campaigns. | [.md](https://openaitools.app/tool/xleads-com.md) |
| 6 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 7 | [Honcho](https://openaitools.app/tool/honcho) | 137,752 | +2.2% | Paid, Contact for Pricing | Provides open-source persistent user modelling for stateful agents, but focuses more on conversational psychology than universal vector graphs. | [.md](https://openaitools.app/tool/honcho.md) |
| 8 | [Qdrant](https://openaitools.app/tool/qdrant-io) | 72,992 | -38.4% | Freemium, Contact for Pricing | Provides high-performance open-source vector similarity search, requiring custom schema design for agent memory management. | [.md](https://openaitools.app/tool/qdrant-io.md) |
| 9 | [Fello AI](https://openaitools.app/tool/fello-ai) | 60,320 | -20.8% | Paid, Contact for Pricing | Stronger at automated database nurturing and 1-on-1 follow-ups, but lacks comprehensive property record and mapping tools. | [.md](https://openaitools.app/tool/fello-ai.md) |
| 10 | [reAlpha](https://openaitools.app/tool/realpha) | 43,871 | -4.6% | Free | AI-powered, zero-commission homebuying with a virtual agent | [.md](https://openaitools.app/tool/realpha.md) |

---
Source: https://openaitools.app/compare/dealmachine-com-vs-supermemory-1

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)