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demo: retarget landing pages to the accounting audience

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Reorients the whole sales surface to accounting so it matches the rebuilt
demos. Replaces the Shopify and RevOps persona pages with accounts-payable
(1099) and accounts-receivable pages, refreshes the bookkeeper page, and
rewires the hub + deploy tooling:

- landing/bookkeeper/  — refreshed to the validated bank-rec demo
  (26 -> 20, six phantom duplicates), iframe ?p=bookkeeper.
- landing/ap-1099/     — NEW (replaces shopify-pet/): 1099 vendor prep,
  "24 records -> 8 vendors, 7 missing EINs recovered", iframe ?p=ap-1099,
  amber accent.
- landing/ar-aging/    — NEW (replaces revops/): AR open invoices,
  "26 -> 21, five double-entered invoices removed", iframe ?p=ar-aging,
  green accent.
- landing/index.html   — hub rewritten with the three accounting cards.
- deploy.py / deploy.config.example.json / README.md / _shared/styles.css
  — persona list, sitemap defaults, 404 links, cross-links, docs updated.

All demo iframes now point at the renamed app_demo personas; deploy.py
builds the dist bundle cleanly (verified) and the Gumroad ?from= tags match.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Michael
2026-06-22 18:59:50 +00:00
parent 6df726e69e
commit e7ec79b9b5
10 changed files with 867 additions and 841 deletions
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landing/bookkeeper/index.html
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@@ -3,9 +3,9 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>DataTools for Bookkeepers — Reconcile Bank Exports With An Audit Trail · $49</title>
<meta name="description" content="Reconcile messy bank exports. Catch duplicate transactions QuickBooks imported twice. Standardize dates, amounts, and vendor casing — locally. Every change auditable. $49 one-time." />
<meta name="keywords" content="reconcile bank export csv, quickbooks duplicate transactions, vendor list cleanup, bookkeeper csv tool, bank export deduplicator, bookkeeper audit trail" />
<title>DataTools for Bookkeepers — Catch Bank Transactions Posted Twice · $49</title>
<meta name="description" content="Catch the transactions your bank export posted twice. Standardize every date to ISO and every amount to numeric, then dedup on the real transaction so the reconciliation ties out — with a row-level audit trail. $49 one-time." />
<meta name="keywords" content="bank reconciliation, duplicate transactions, bank export csv cleanup, QuickBooks reconcile, bookkeeper csv tool" />
<link rel="canonical" href="https://datatools.app/bookkeeper/" />
<link rel="stylesheet" href="../_shared/styles.css" />
@@ -18,8 +18,8 @@
</style>
<!-- Open Graph -->
<meta property="og:title" content="DataTools for Bookkeepers — Reconcile Bank Exports With An Audit Trail" />
<meta property="og:description" content="Catch duplicate transactions. Standardize dates and amounts. Hand your client an audit trail. $49 one-time." />
<meta property="og:title" content="DataTools for Bookkeepers — Catch Bank Transactions Posted Twice" />
<meta property="og:description" content="The same payment posts twice in two date/amount formats and a plain dedupe misses it. DataTools standardizes, dedups on the real transaction, and hands you an audit trail. $49 one-time." />
<meta property="og:type" content="product" />
<meta property="og:url" content="https://datatools.app/bookkeeper/" />
@@ -35,7 +35,7 @@
"price": "49",
"priceCurrency": "USD"
},
"description": "Reconcile bank exports, dedupe vendor lists, and produce a hand-off-ready audit trail. Six-tool data-cleaning bundle for bookkeepers and freelance accountants.",
"description": "Catch the duplicate transactions your bank export posted twice across overlapping months, standardize dates and amounts, and produce a hand-off-ready audit trail. Six-tool data-cleaning bundle for bookkeepers and freelance accountants.",
"softwareVersion": "1.0"
}
</script>
@@ -47,7 +47,7 @@
<div class="brand"><span class="brand-mark">●</span> DataTools <span class="muted">/ for Bookkeepers</span></div>
<div>
<span class="price-tag">$49 — one-time, no subscription</span>
<a class="btn" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools →</a>
<a class="btn" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools for Bookkeepers — $49 →</a>
</div>
</div>
</div>
@@ -55,24 +55,29 @@
<section class="hero">
<div class="container">
<div class="eyebrow">For bookkeepers · freelance accountants · small-firm partners</div>
<h1>Reconcile messy bank exports.<br /><strong>Hand your client an audit trail.</strong></h1>
<h1>Catch the transactions your bank export<br /><strong>posted twice.</strong></h1>
<p class="lead">
The Jan and Feb exports overlap and you've got the same transaction
booked twice. Vendor names are <em>"Amazon"</em>, <em>"amazon.com"</em>,
and <em>"AMAZON.COM*4F2X9"</em> in three different rows. Dates are a
smoosh of <code>01/15/2025</code>, <code>2025-01-15</code>, and
<code>Jan 18 2025</code>. DataTools fixes all of it in one pass —
and produces a row-by-row CSV showing every change so your client
can verify your work.
The Jan and Feb exports overlap, so the <em>same</em> payment posts
twice in two different shapes — <code>01/15/2025&nbsp;&nbsp;+$3,450.00</code>
in one export and <code>2025-01-15&nbsp;&nbsp;3450.00</code> in the
other — and a plain Excel dedupe never catches it because the dates and
amounts don't match character-for-character. DataTools standardizes
every date to ISO and every amount to numeric (parens-negatives
resolved), then dedups on the <em>real</em> transaction so the
reconciliation ties out. On the sample export that's
<strong>26 rows → 20</strong> — six phantom duplicate transactions
removed, 36 date/amount cells standardized, 0 unparseable — and you
get a row-by-row CSV showing every change so your client can verify
your work.
</p>
<div class="cta-row">
<a class="btn btn-large" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools — $49 →</a>
<a class="btn btn-large" href="https://gumroad.com/l/datatools?from=bookkeeper" rel="noopener">Get DataTools for Bookkeepers — $49 →</a>
<a class="btn btn-ghost btn-large" href="#demo">Try the live demo ↓</a>
<span class="price-note">One-time payment · cross-platform · runs offline</span>
</div>
<div class="stats">
<div class="stat"><div class="num">6</div><div class="label">tools, one bundle</div></div>
<div class="stat"><div class="num">100 %</div><div class="label">auditable changes</div></div>
<div class="stat"><div class="num">26→20</div><div class="label">rows, on the sample export</div></div>
<div class="stat"><div class="num">6</div><div class="label">phantom duplicates removed</div></div>
<div class="stat"><div class="num">0</div><div class="label">cloud uploads ever</div></div>
</div>
</div>
@@ -129,13 +134,15 @@
<div class="eyebrow">Live demo · runs in your browser</div>
<h2>Try it on a sample bank export with a known overlap</h2>
<p>
The demo below loads a 25-row export combining January and February
The demo below loads a 26-row export combining January and February
activity, with the month-boundary rows duplicated across exports —
the exact scenario where QuickBooks (or any reconciler) silently
double-counts transactions. Click <strong>Run pipeline</strong> and
watch the dedup catch every overlap, dates land in ISO format, and
the parens-negative amounts (<code>($89.50)</code>) become proper
negative numbers.
watch it standardize 36 date/amount cells, land every date in ISO
format, turn the parens-negative amounts (<code>($89.50)</code>) into
proper negatives, flag the disguised-null categories, and dedup the
export down to <strong>20 real transactions</strong> — six phantom
duplicates removed, 0 unparseable.
</p>
<div class="demo-frame">
<iframe
@@ -197,13 +204,17 @@
price. DataTools writes the audit by default, downloadable as a
separate CSV alongside the cleaned file.
</div>
<div class="terminal"><span class="prompt">$</span> head -5 client_jan2025_changes.csv
<div class="terminal"><span class="prompt">$</span> python -m src.cli_pipeline bank_reconciliation.csv --pipeline bank_reconciliation_pipeline.json --apply
standardize · 36 date/amount cells normalized (ISO dates, numeric amounts, parens-negatives resolved)
missing · disguised-null categories flagged (—, N/A, (blank))
dedup · 6 phantom duplicate transactions removed
rows · 26 → 20 · 0 unparseable
✓ wrote bank_reconciliation.cleaned.csv + bank_reconciliation.changes.csv (row-level audit)
<span class="prompt">$</span> head -4 bank_reconciliation.changes.csv
row,column,field_type,old,new
0,"Date ",date,"01/15/2025","2025-01-15"
0,Description,name," AMAZON.COM*4F2X9 PURCHASE","Amazon.com*4F2X9 Purchase"
0,Amount,currency,"-$129.99","-129.99"
1,Date ,date,"2025-01-15","2025-01-15"
<span class="prompt">$</span> # one row of audit per cell change. handed to the client. signed off.</div>
0,Amount,currency,"+$3,450.00","3450.00"
0,Category,category,"—","(missing)"
</div>
</section>
@@ -336,13 +347,13 @@ row,column,field_type,old,new
<footer>
<div class="container">
<div>
<p><strong>DataTools</strong> — local data-cleaning for Shopify, bookkeepers, and RevOps teams.</p>
<p><strong>DataTools</strong> — local data-cleaning for bookkeepers, accounts payable, and accounts receivable teams.</p>
<p class="muted">© 2026 · Built solo · Shipped from a small office.</p>
</div>
<div>
<p>
<a href="../shopify-pet/">For Shopify operators</a> ·
<a href="../revops/">For RevOps agencies</a><br />
<a href="../ap-1099/">For accounts payable / 1099</a> ·
<a href="../ar-aging/">For accounts receivable</a><br />
<a href="https://gumroad.com/l/datatools?from=bookkeeper">Buy on Gumroad</a> ·
<a href="mailto:hello@datatools.app">Email support</a>
</p>