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Saves you time so you don't have to read the terms of service, I found it on the chrome extensions store its fineprint.ai
useful concept. the hardest part about picking software isnt finding it, its figuring out if it actually fits your workflow.
one tool worth adding if you havent already: Taskade. its a workspace that combines project management, docs, AI agents, and automations in one place. the recent Genesis update lets you describe what you need and it builds a full working app.
not many tools cover that range in a single product. worth a look for the AI productivity category.
discovery is the right problem to solve. the number of SaaS tools has exploded and finding the right one for your specific workflow is genuinely hard.
the challenge with recommendation engines for software is that fit depends heavily on context. a tool thats perfect for a 5-person startup might be terrible for a 500-person company. the same tool can be great for project management but bad for knowledge management.
would love to see richer filtering beyond categories. things like team size, integrations you already use, budget constraints. thats where recommendations get actually useful.
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Saves you time so you don't have to read the terms of service, I found it on the chrome extensions store its fineprint.ai
Taskade AI Mobile: Supercharge Workflows
useful concept. the hardest part about picking software isnt finding it, its figuring out if it actually fits your workflow.
one tool worth adding if you havent already: Taskade. its a workspace that combines project management, docs, AI agents, and automations in one place. the recent Genesis update lets you describe what you need and it builds a full working app.
not many tools cover that range in a single product. worth a look for the AI productivity category.
https://www.taskade.com
Taskade AI Mobile: Supercharge Workflows
discovery is the right problem to solve. the number of SaaS tools has exploded and finding the right one for your specific workflow is genuinely hard.
the challenge with recommendation engines for software is that fit depends heavily on context. a tool thats perfect for a 5-person startup might be terrible for a 500-person company. the same tool can be great for project management but bad for knowledge management.
would love to see richer filtering beyond categories. things like team size, integrations you already use, budget constraints. thats where recommendations get actually useful.