Zinselturat analyses platform earnings data, demand patterns and market signals continuously, then ranks your options by risk and expected return. Nothing is based on a tip or a hunch you can't trace back.
After analysis runs, you get a ranked list of actions with a confidence note and the data sources behind each one — not a generic dashboard mock-up, but your own numbers.
Payout rates on delivery, rideshare and task platforms shift from one week to the next, often with no advance notice. Tracking that shift manually, across several apps, takes time most gig workers don't have — and the patterns are easy to miss until the week is already over.
Three stages run on a schedule, so the output reflects current conditions rather than last month's averages.
We pull from the platform payout histories you authorise, public demand and pricing indicators, and any additional feeds you choose to connect. You control what's linked at all times.
Models compare current conditions against historical outcomes in the same category, flagging shifts in demand, pricing or volatility as soon as they appear in the data.
You receive a ranked list of actions, each with a risk band, a confidence note and the specific data points used — ready to check against the public log before you act.
Every recommendation is recorded at the moment it's issued, not after the result is known. The format below shows what each entry contains.
| Date logged | Category | Recommendation type | Outcome recorded | Status |
|---|---|---|---|---|
| Example entry | Platform shift timing | Reallocate hours | Added after 7 days | Verified |
| Example entry | Small-cap signal | Reduce exposure | Added after 14 days | Verified |
| Example entry | Demand spike alert | Increase availability | Pending | Pending |
Rows above illustrate the log format only. The live log lists real, dated entries and is open to anyone without an account.
Entries are timestamped on issue, before any outcome is known, and outcomes are added afterwards rather than edited into the original record. Community members can flag entries they believe are inaccurate; disputed entries stay marked until someone reviews them.
Each feature below addresses a specific, practical constraint rather than offering a general dashboard.
Every recommendation carries a risk band, calculated from historical variance within that category. You can match actions to how much uncertainty you're prepared to carry this particular week.
When underlying data shifts enough to change a previous recommendation, you receive a notification explaining the specific reason — not a generic "conditions changed" message.
If you work across several platforms or hold a few small investments, the system weighs them together and suggests how to rebalance your time or capital between them.
Direct answers to the questions we hear most before someone starts.
Most people connect their first data source within a single session. You choose which accounts and feeds to link, and analysis begins using whatever data is available at that point — it improves as you connect more sources.
Pricing depends on how many data sources and categories you connect, so we don't publish a single flat fee here. You can see full pricing details before connecting anything, and the public log remains free to view regardless.
Platform payout histories you authorise, publicly available market and demand data, and any additional feeds you choose to add manually. You can disconnect any source at any time.
Yes. The public log is open to everyone, with no account required. Review past entries and how they were verified before deciding whether to connect your own data.
No. Zinselturat is built for people who want decisions backed by data, not for people who want to build or tune models themselves. Each recommendation includes the reasoning in plain terms.
There's no commitment to browse the data. Connect your first source whenever you're ready to see recommendations built from your own situation, not a generic average.