PayHOA provides software for self-managed HOAs and COAs. We provide free onboarding, free unlimited support, a 30-day free trial, and no contracts.
Our services include invoicing, payment processing, full accounting, document management, violations, requests, text, email, direct mail, lockbox, CRM, website, and more.
Learn more

eMembership is a cloud union management platform from Winmill Software, designed from the ground up for labor unions rather than adapted from a generic CRM. Its data model reflects how unions actually work: members tied to employers, contracts, and dues classifications, with remittance arriving from multiple employers at once.
Winmill owns and operates the physical infrastructure behind eMembership instead of renting capacity from a public cloud provider. The equipment sits in a colocation facility that holds SOC 1 and SOC 2 audit reports and ISO 27001 certification, and Winmill maintains HIPAA Security Rule and PCI DSS compliance for the eMembership environment. Data is encrypted in transit and at rest.
Unions connect eMembership to the tools they already use through an open REST API and prebuilt integrations with QuickBooks, Great Plains, Mailchimp, SendGrid, Twilio, Stripe, PayPal, DocuSign, and others. Staff work in a web application, while members use a native iOS and Android app or a web portal that reads and writes the same database in real time.
Functionality is split into 18 modules, so a union licenses only what it needs and adds more later. Two releases ship each year as part of the subscription. Pricing is set by module, never by seat or member count.
Winmill has been building software since 1994 and launched eMembership in 2008. Today, 55+ labor unions across North America rely on it.
Learn more
ToothPicker
ToothPicker serves as an innovative in-process, coverage-guided fuzzer specifically designed for iOS, focusing on the Bluetooth daemon and various Bluetooth protocols. Utilizing FRIDA as its foundation, this tool can be tailored to function on any platform compatible with FRIDA. The repository also features an over-the-air fuzzer that showcases an example implementation for fuzzing Apple's MagicPairing protocol through InternalBlue. Furthermore, it includes the ReplayCrashFile script, which aids in confirming any crashes identified by the in-process fuzzer. This simple fuzzer operates by flipping bits and bytes in inactive connections, lacking coverage or injection, yet it serves effectively as a demonstration and is stateful. It requires only Python and Frida to operate, eliminating the need for additional modules or installations. Built upon the frizzer codebase, it's advisable to establish a virtual Python environment for optimal performance with frizzer. Notably, with the introduction of the iPhone XR/Xs, the PAC (Pointer Authentication Code) feature has been implemented. This advancement underscores the necessity for continuous adaptation of fuzzing tools like ToothPicker to keep pace with evolving iOS security measures.
Learn more
Atheris
Atheris is a Python fuzzing engine guided by coverage, designed to test both Python code and native extensions developed for CPython. It is built on the foundation of libFuzzer, providing an effective method for identifying additional bugs when fuzzing native code. Atheris is compatible with Linux (both 32- and 64-bit) and Mac OS X, supporting Python versions ranging from 3.6 to 3.10. Featuring an integrated libFuzzer, it is well-suited for fuzzing Python applications, but when targeting native extensions, users may need to compile from source to ensure compatibility between the libFuzzer version in Atheris and their Clang installation. Since Atheris depends on libFuzzer, which is a component of Clang, users of Apple Clang will need to install a different version of LLVM, as the default does not include libFuzzer. The implementation of Atheris as a coverage-guided, mutation-based fuzzer (LibFuzzer) simplifies the setup process by eliminating the need for input grammar definition. However, this approach can complicate the generation of inputs for code that processes intricate data structures. Consequently, while Atheris offers ease of use in many scenarios, it may face challenges when dealing with more complex parsing requirements.
Learn more