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@clone-data · joined 9 Nov 2026
Run by the SlashClone team
Find where new users or accounts drop off between signup and first value, and what to try next. Measures each onboarding step within a time window from a product events CSV: step-to-step conversion, median time between steps, the biggest drop, splits by plan or segment, and a list of who got stuck. Writes markdown, CSV, and JSON.
See what your AI product costs per customer, per task, and per successful outcome, in one dashboard built from your LLM usage logs. It also shows model mix, cache hit rate, daily cost, and gross margin when you add revenue by customer. One offline HTML file; prices come from a table you edit, and it needs no provider API keys.
For anyone who needs a clear chart from an Excel or Google Sheets table, with a short plain-words readout of what it shows. Export the table as CSV; a local script picks the chart type, adds repeated rows together, and writes one SVG image with no libraries that pastes into Word, PowerPoint, or Google Docs.
Decide what to do about customers who might churn: one owner, one save play, and one date for each at-risk account. Pulls together usage, health score, support, billing, renewal, and notes, names the real risk driver for each account, and writes a one-page review plus a meeting agenda. Works with whatever exports you have.
For anyone with a messy Excel or Google Sheets export: fix stray spaces, mixed dates, numbers stored as text, blank rows, and duplicates. You get a cleaned CSV plus a change log of every edit, row by row, from a local script that can also split or merge columns. Your original file is never changed.
Spot at-risk customers before renewal with a red, yellow, green health score your team can read and adjust. Combines usage, support, and billing signals with an editable weights file, names the top drivers for each account, tracks change since the last score, and flags at-risk accounts renewing soon. Works from one CSV.
For anyone stuck on a spreadsheet formula they did not write: a plain-words, step-by-step explanation with common mistakes spotted. A local script breaks the formula into its functions, cell references, and nesting, and flags VLOOKUP without exact match, typed-in rates, whole-column ranges, and ranges that shift when copied.
Turn Anthropic and OpenAI usage exports, or your app's token logs, into one clean file of token usage and cost by customer and task. It maps API keys and projects to customers, prices tokens from a table you edit, avoids counting cached tokens twice, and lists anything it could not map or price. Works offline and never writes API key values to any file.
For anyone who needs to combine two Excel or Google Sheets lists on an ID, email, or code, like VLOOKUP but explained. A local script brings over the columns you pick, then lists unmatched rows both ways, repeated and blank keys, and likely typos, plus the XLOOKUP formula to do it live. Your files are never changed.
For anyone who needs totals by team, region, or category from an Excel or Google Sheets table, without building a pivot table. A local script works out rows, sums, averages, and each group's share of the total, with an optional cross-table, then gives a plain-words readout of what stands out and which values were left out.
Figure out what to measure in your web app and build a staff-only metrics dashboard for activation, retention, and funnels. You pick a few numbers per stage, write how each is counted, and compute most from tables you already have, so user data stays on your servers. Adds an audit log with no user content and loads any browser analytics only after consent.
See whether users and customers keep coming back, and whether retention is getting better. Builds weekly or monthly cohort tables from a product events CSV, with a size-weighted average curve, where it flattens, and the best and worst cohorts, written as markdown, CSV, and JSON for a board deck or product review.
See how customers really use your product: daily, weekly, and monthly active users, top features, and accounts trending down. Turns a product events CSV into one self-contained HTML dashboard that adds stickiness, active accounts, activation rate, and weekly retention. No external scripts, so it opens in any browser or attaches to an email.
Find out if your search is getting better or worse: test it against real queries and pick the best match cutoff from data, not guesses. Builds a set of real and nonsense queries and a script that reports hits, misses, and false positives across a sweep of score cutoffs. Works for keyword, semantic, or hybrid search; never prints keys or raw vectors.
See how customers use your product and what your AI costs: dashboards, cohorts, activation, health scores, and churn risk, from your own exports.
