
Looker
Jupyter
Google BigQuery
Presto DB
Databricks
Informatica
Concurrent
Custom analytics platform

StackSource
AI-native commercial mortgage brokerage. One submission, lender matching, and human support through closing. No upfront fees.

Which is more popular?
Based on our record, Rakam seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | rakam.io | yieldstack.ai |
| Pricing | ||
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Rakam yet.
YieldStack helps real estate investors, developers, and brokers find commercial mortgage financing from third-party lenders. Borrowers submit a financing request through one platform. AI supports deal preparation and lender-program matching, while YieldStack’s brokerage team helps compare offers,...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Rakam is particularly recommended for startups, small to medium-sized businesses, and any organization that requires a robust yet easy-to-use analytics platform. It is also suitable for teams that need to integrate multiple data sources and are looking for an alternative to more complex or expensive analytics solutions.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Jasmine Kena Halau dari Kedai?? Padah sesuka hati rakam tempat orang tanpa izin
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Rakam and YieldStack.
YieldStack's answer:
The largest CRE Lenders in the USA
YieldStack's answer:
AI integrations supporting the platform’s workflows.
YieldStack's answer:
YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.
YieldStack's answer:
YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.
YieldStack's answer:
Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.
YieldStack's answer:
Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.
Share your experience with using Rakam and YieldStack. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Well done! I was actually looking for an open source LookML a while back and found Rakam[0]. It seems they added the dbt layer after the fact while you started with that concept. Product looks slick, good luck? By the way, what happened... - Source: Hacker News / over 5 years ago
Tracking YieldStack since Mar 2026.
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