Stillindexed VS YieldStack

YieldStack's answer:

The largest CRE Lenders in the USA

Stillindexed's answer

Go (stdlib net/http) for the API and the checker worker, PostgreSQL 17 with River for job scheduling, Astro for the marketing site, Vite and React with TypeScript for the app, plain CSS, Docker Compose behind Traefik, Polar for billing, Telegram and email for alerts.

YieldStack's answer:

AI integrations supporting the platform’s workflows.

Stillindexed's answer

It publishes its own evidence instead of adjectives. A public canary page breaks itself on a fixed schedule every four hours, and the log at api.stillindexed.com/canary/log shows every check and alert with the measured detection latency (median 16 minutes to detect, 18 to alert, on the slower plan). The crawler's identity and limits are published at /bot. Every check reads what the server actually returned, meta robots, X-Robots-Tag headers, robots.txt, canonicals, redirect chains, so a noindex in a response header is caught, not just one in the HTML. Pricing is public, there is no sales call, and no site access is required.

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.

Stillindexed's answer

Because it interprets a URL's indexability automatically at a self-serve price. Generic change monitors (Visualping, Hexowatch, changedetection.io) diff whatever selector you configure and leave you to decide what the change means. Audit suites (Screaming Frog, Sitebulb, Ahrefs, Semrush) crawl on a schedule you read later. The SEO-aware monitors that do interpret changes start at $199 a month (SEORadar) or hide pricing behind a sales process (Conductor Monitoring). Stillindexed checks every 15 or 30 minutes, confirms a critical change with a second fetch before alerting, sends the before/after to Telegram and email, and starts at $39 a month for 15 sites. When Little Warden or Oh Dear fits better, the comparison pages on the site say so.

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.

Stillindexed's answer

Freelance technical SEO consultants and agencies of two to ten people who manage 5 to 50 client sites on retainer, especially around site migrations. Their problem is finding out about a broken noindex, robots.txt or canonical from the client three days late. It is not built for enterprises, in-house teams at large companies, or developers who want uptime or cron monitoring.

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.

Stillindexed's answer

An accidental noindex or robots.txt block typically sits live for 24 to 72 hours before anyone notices. Search Console reports it after the indexing damage, and its reports are often days behind. Recovery takes one to three weeks after the fix, and for an agency the cost is the client relationship. Existing tools were either enterprise crawlers with sales-led pricing, or generic page-diff monitors with no SEO semantics. Stillindexed was built as the narrow thing in between: plain HTTP fetches of the directives Google's indexing decision trusts first, on a short cycle, with an alert that names the change. It was built by one person and is designed to stay maintainable by one person, which is why it does one job and publishes its own proof.

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.