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SciTuu Wet Lab Tools
From wet-lab files to traceable experiment handoffs
Stop rebuilding wet-lab plans in scattered spreadsheets. SciTuu gives researchers 29 free calculators plus Data Inbox, Instrument Inbox, guided workflows and traceable Experiment Packet exports. Start with qPCR, ELISA, cell culture, Gibson, plate planning or Opentrons; import CSV/XLSX/JSON and common instrument files; then export to Benchling/LabArchives, Slack/Teams, cloud storage, AI4S formats or Remote MCP. Browser-first, privacy-first, research use only.
I built SciTuu because routine wet-lab work still jumps between spreadsheets, instrument files, notebooks and manual handoffs.
SciTuu is a free, privacy-first toolkit for wet-lab planning. It now combines 29 deterministic calculators with Data Inbox, Instrument Inbox, guided workflows and Experiment Packet 2.0 exports.
You can start with qPCR, ELISA, cell culture, Gibson/clone QC, plate planning or Opentrons; import CSV/XLSX/JSON, NanoDrop or plate-reader data; map it locally; and export reviewable records for Benchling/LabArchives, Slack/Teams, cloud storage, AI4S/standards metadata or Remote MCP.
Core calculations run in the browser. Accounts and integrations are optional. Research use only.
I’d love feedback on:
• Which instrument file or lab workflow should we support next?
• Would Data Inbox + Experiment Packet fit how your team reviews experiments?
• Which handoff matters most: ELN/LIMS, Slack/Teams, Opentrons or AI/agent workflows?
About SciTuu Wet Lab Tools on Product Hunt
“From wet-lab files to traceable experiment handoffs”
SciTuu Wet Lab Tools was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #145 on the daily leaderboard. Stop rebuilding wet-lab plans in scattered spreadsheets. SciTuu gives researchers 29 free calculators plus Data Inbox, Instrument Inbox, guided workflows and traceable Experiment Packet exports. Start with qPCR, ELISA, cell culture, Gibson, plate planning or Opentrons; import CSV/XLSX/JSON and common instrument files; then export to Benchling/LabArchives, Slack/Teams, cloud storage, AI4S formats or Remote MCP. Browser-first, privacy-first, research use only.
On the analytics side, SciTuu Wet Lab Tools competes within Productivity, Tech and Medical — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how SciTuu Wet Lab Tools performed against the three products that launched closest to it on the same day.
Who hunted SciTuu Wet Lab Tools?
SciTuu Wet Lab Tools was hunted by Kenny Li. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SciTuu Wet Lab Tools including community comment highlights and product details, visit the product overview.
Kenny Li
Hi Product Hunt — Kenny here, maker of SciTuu. 👋
I built SciTuu because routine wet-lab work still jumps between spreadsheets, instrument files, notebooks and manual handoffs.
SciTuu is a free, privacy-first toolkit for wet-lab planning. It now combines 29 deterministic calculators with Data Inbox, Instrument Inbox, guided workflows and Experiment Packet 2.0 exports.
You can start with qPCR, ELISA, cell culture, Gibson/clone QC, plate planning or Opentrons; import CSV/XLSX/JSON, NanoDrop or plate-reader data; map it locally; and export reviewable records for Benchling/LabArchives, Slack/Teams, cloud storage, AI4S/standards metadata or Remote MCP.
Core calculations run in the browser. Accounts and integrations are optional. Research use only.
I’d love feedback on:
• Which instrument file or lab workflow should we support next?
• Would Data Inbox + Experiment Packet fit how your team reviews experiments?
• Which handoff matters most: ELN/LIMS, Slack/Teams, Opentrons or AI/agent workflows?