AlgoVote is a policy-driven voting assistant built to reduce information asymmetry for everyday voters. Instead of overwhelming users with campaign noise, it organizes candidate policies into a clean, comparable structure—making political choices easier, faster, and more grounded in facts.

AlgoVote emerged from a clear civic problem: most voters want to choose responsibly, but policy information is fragmented, inconsistent, and buried under campaign messaging. The challenge wasn’t helping people understand politics—it was helping them access structured, trustworthy information in a format they could actually use.

The platform collects and organizes candidate policies into a unified schema, allowing users to compare positions across issues without sifting through complex PDFs or lengthy statements. Instead of focusing on political persuasion, AlgoVote emphasizes clarity: what each candidate promises, how their priorities differ, and where those differences matter.

At its core, AlgoVote reflects a Builder mindset: start with the citizen’s real-world task and design the workflow backward. Users shouldn't need to search, filter, and interpret raw documents—those steps should happen behind the scenes. The system does the “how,” enabling the user to focus on “what decision to make.”

During elections, the platform reached over 1,000 daily active users, validating its simplicity and relevance. The feedback cycle shaped improvements in topic categorization, policy summarization, and comparison interfaces, reinforcing that meaningful civic tools must be both actionable and accessible.

AlgoVote stands as an experiment in rethinking how public information can be delivered: not as data, but as decisions made clearer.

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