Killian Portfolio
14 bets · Apr 28, 2026

Nightly Briefs

Awaiting your verdict (14)

bet_20260428_a14a1b · proposed
Client-ready marketing audits in 30 min
judge 79/100edge 1.5/10ai native

Every freelance marketer I've talked to runs the same broken playbook: open SEMrush, open Ahrefs, open Screaming Frog, cross-reference three dashboards, then spend 4-8 hours rewriting raw data into a narrative their client will actually read. They're billing $50-150/hr but half that time is unbillable interpretation work. The tools sell data; clients pay for decisions.

There are 100k+ freelance marketers and small agencies in the US doing audit work. Capture 1% at $79/mo and that's ~$950k ARR. Even 0.3% gets us to a real $280k/yr business — and these buyers already pay $99-139/mo for Ahrefs or SEMrush, so the wallet is open.

Incumbents are stuck at the data layer. AgencyAnalytics white-labels dashboards but still needs a human to write the story. The wedge is the synthesis layer: a scored, prioritized, client-deliverable PDF stitching SEO + conversion + content + competitor + technical into one narrative. Why now: Claude/GPT-4 class models finally clear the 'send to client unedited' bar — barely. Window before SEMrush ships this as a feature: 12-24 months.

No special operator edge here — I won't pretend otherwise. This wins on execution speed and prompt/rubric quality, not moat.

The test: $400 to build, ship to 20 beta marketers in 14 days. Kill if <5 send the PDF to a real client unedited, or COGS per report exceeds $10 before $500 MRR. Small bet, fast signal.

Let's find out in two weeks whether the synthesis layer is real.

Problem
Small business owners and freelancers manually audit competitor websites and their own marketing funnels, repeating the same analysis process for each new client—consuming 4-8 hours per client.
Solution
Automated marketing audit tool (Claude-based or similar) that generates a scored PDF report covering SEO, conversion, content, competitors, and technical issues in <30 min.
Target
Freelance marketers, small agencies, solopreneurs offering marketing consulting (estimated 100k+ in US); those billing $50-150/hr for audit work.
First test
Build and offer free/freemium version to 20 marketers; measure: >5 pay for full reports within 14d, or >10 freemium users export a report.
Kill criteria
<5 of 20 beta users send the PDF to an actual client unedited within 30 days AND <3 paid conversions by day 45 AND COGS-per-report exceeds $10 at any point before hitting $500 MRR → kill
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bet_20260428_e3d088 · proposed · wildcard
★ Deliverability autopilot for Klaviyo brands
2026-04-28 · wildcard:opus
judge 76/100edge 1.5/10

Klaviyo drives 20-30% of revenue for a $5M Shopify DTC brand — and right now, the only way they learn their sender reputation tanked is when next month's revenue craters. No alarm, no alert, just a slow bleed nobody catches until the CFO asks why email is down 40%. Deliverability is the smoke detector that nobody installed.

The math is clean: ~50k Shopify+Klaviyo brands in the $1M-$50M GMV band, ARPU $149/mo = $268M TAM. At a modest 1% capture we're at $9M ARR; even 0.3% is a $2M ARR business. Validity charges $500-$1,500/mo and sells to enterprise; GlockApps is $79/mo credit-based and manual. Nothing sits in the $149 sweet spot with Klaviyo OAuth + Slack alerts + always-on synthetic sends. That's the wedge — boring, specific, and a feature gap rather than a category creation.

I'll be honest about the risks: the MVP wraps GlockApps' API and they prohibit resale, so we have a 30-60 day window before that's a rebuild. And cold DMs to brand owners may bounce off CMOs who gatekeep Klaviyo. Those are the two things that kill this.

The test is small: $79/mo GlockApps + Zapier + 200 LinkedIn DMs over 14 days. Total burn under $500. Kill criteria are sharp: <6 audit requests, <2 paid pilots at $149, or <25% of audits surface a real defect, and we walk by day 30.

No operator edge here — just clean SaaS economics and a real gap. Cheap to learn, fast to kill. Let's run it.

Problem
Shopify merchants running Klaviyo flows have no automated way to detect when their email deliverability is silently degrading (sender reputation drops, Gmail tab placement changes, soft-bounce creep) until revenue craters weeks later.
Solution
A monitoring tool that connects to Klaviyo + a seed list of Gmail/Outlook/Yahoo inboxes, sends synthetic versions of every campaign, and alerts merchants in Slack/email when inbox placement or open rates drop past a threshold.
Target
Shopify DTC brands doing $1M-$50M GMV using Klaviyo; ~50k of Klaviyo's 130k+ paying customers fit, willing to pay $99-$299/mo to protect email revenue (typically 20-30% of total).
First test
Build a no-code MVP: GlockApps API ($79/mo) wrapped with a Klaviyo OAuth fetch + Zapier alerting. Cold DM 200 Shopify Plus brand owners on LinkedIn/Twitter offering free 14-day audit reports. Measure how many request the report and how many convert to a $149/mo paid pilot.
Kill criteria
<6 audit report requests from 200 DMs by day 14 (sub-3% response), OR <2 paid pilots at $149/mo closed by day 30, OR audit data from completed reports shows <25% of audited brands have a deliverability defect scoring 'actionable' (inbox placement <85% or promotion-tab rate >40%) → kill by day 30
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bet_20260427_65c808 · proposed
Batch-mode social tool for ADHD makers
judge 76/100edge 1.5/10ai native

Indie makers with ADHD are watching their shops stall because they can't post consistently — and the 'fix' is hiring a $500/mo social manager they can't afford on $2K MRR. Buffer and Later solved scheduling a decade ago, but every morning the user still stares at an empty caption box. That blank box is the disease; schedulers treat the symptom.

Roughly 50K neurodivergent product creators fit the bullseye. At 2% capture and $15/mo, that's $180K ARR — thin. Widen to indie makers broadly (Etsy + Gumroad, ~2M sellers) and 0.3% capture at $15 gets us to $1.1M ARR. Real, but not a rocket.

The wedge is opinionated content scaffolding paired with a one-session-per-month batching flow. Nobody ships pre-written, product-aesthetic-aware captions inside the scheduler — Copy.ai is generic, Buffer is infrastructure. Why now: the ADHD-creator identity went mainstream on TikTok in the last 18 months; the audience self-identifies and clusters.

Honest disclosure: this has zero overlap with your operator edges. You'd be backing the thesis, not leveraging unfair advantage. Defensibility is also weak — incumbents could ship 'ADHD mode' in a sprint.

The path is cheap: 14 days, ~$0 capital, a Notion template seeded in r/ADHD and maker Discords. Kill if <15 downloads by day 14, <5 paid conversions by day 30, or first-cohort churn above 60%. We learn whether the funnel converts before we build software.

It's a $0 test of a real, documented pain. Let's see if it pulls.

Problem
ADHD/neurodivergent product creators struggle with social media consistency (overwhelm + executive dysfunction), forcing them to hire help they can't yet afford, losing growth momentum.
Solution
Templated, low-friction social content batching tool: pre-written captions for product aesthetics + functionality, scheduled in batches (1 hour setup per month, not daily).
Target
~50K indie makers/creators with ADHD/autism targeting niche communities; willingness to pay ~$10–30/month evident from hiring social managers.
First test
Create 4 weeks of template captions (for aesthetic + functional product posts) as a Notion template. Post in r/ADHD, maker communities. Target: 30+ template downloads, 10+ paid conversions at $15/month.
Kill criteria
<15 template downloads by day 14 OR <5 paid conversions ($15/mo) by day 30 OR week-2 retention below 40% of paid users (i.e., ≥3 of first 5 paying users cancel before day 30) → kill; if downloads hit 30+ but paid conversions remain <5 by day 45, treat as conversion architecture failure and kill the current funnel
To approve from Telegram: reply approve bet_20260427_65c808
bet_20260428_950a60 · proposed
Inescapable PC alarm for ADHD brains
2026-04-28 · reddit:AppIdeas:new
judge 75/100edge 1.5/10consumer app

Picture an ADHD developer at 2pm with a 3pm client call. Their phone alarm rings in the kitchen. They don't hear it. Windows toast pops up — dismissed in 0.3 seconds by reflex. They miss the call. This happens to millions of desk-bound ADHD adults every week, and there is no PC app that actually solves it.

The math: ~3M US adults with diagnosed ADHD work primarily at a PC. At 1% capture and $8/mo ARPU, that's $2.9M ARR. Alarmy proved on mobile that people pay for 'annoying-by-design' alarms — they have 60M+ downloads. The desktop is wide open: Cold Turkey blocks sites but doesn't alert; Due is Mac-only and dismissible in one click; Windows reminders are a joke. Nobody has shipped pre-warning + full-screen lockout + cognitive challenge on PC.

Why now: ADHD diagnoses in adults are up 4x since 2020 and remote/PC-bound work is permanent. The audience is louder, more self-aware, and actively shopping for tools in r/ADHD.

Honest risks: macOS Accessibility hardening could neuter the lockout (Windows-only v1 sidesteps this), and ADHD communities have a freeloader streak that may compress WTP to $3 not $8. Both are real.

The bet: 14 days, ~$2K, Windows MVP with math-captcha dismissal, seeded to 20 r/ADHD testers. Kill if <8 complete a challenge, <40% use it 3+ days, and zero unsolicited WTP signal by day 30.

Small, reversible, and the wedge is genuinely uncontested on desktop. Let's build it.

Problem
People with ADHD/focus issues need an alarm/reminder app for PC that they cannot easily disable, but no existing app combines an annoying alert with a task barrier and pre-notification—they resort to manual phone timers or miss deadlines entirely.
Solution
A Windows/Mac desktop app that sends a soft 1–2 min pre-reminder, then a locked, annoying full-screen alarm with a randomized task/challenge (math problem, captcha, forced shutdown) that must be completed before dismissal.
Target
ADHD adults and shift workers using PC; estimated 2M–5M in US alone; willingness to pay $5–15/month for productivity tool.
First test
Build a minimal MVP (Windows only) with pre-reminder + locked alarm + one task type (math captcha). Distribute to 20 ADHD Discord/subreddit users. Track: alarm completion rate, daily active use, NPS.
Kill criteria
<8 of 20 testers complete ≥1 alarm dismissal challenge in first 7 days AND <40% report using it on 3+ of the first 14 days AND 0 users express unsolicited willingness to pay ≥$3/mo in exit survey by day 30 → kill
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bet_20260427_6da740 · proposed
Transparent-cost Copilot for indie devs
2026-04-27 · hn:ask_hn
judge 75/100edge 1.5/10infra tooling

Every indie dev I know got the Copilot price-hike email, then watched Cursor swap to opaque 'fast requests,' then heard Cline horror stories about $50 surprise bills from a single refactor session. The pain is loud and current: Reddit and HN threads are full of devs asking 'what's the cheapest honest alternative?' and getting no clean answer.

There are 50k+ price-conscious US indie devs paying $20-30/mo for Copilot today. Capture 2% at $10/mo paid tier = $120k ARR off the first cohort, with a clear path to $1M if we hit the vocal-indie segment on HN. Not a unicorn — a real lifestyle business if the funnel holds.

The wedge is narrow but specific: nobody — not Continue.dev, not Cline, not Cursor — shows per-request cost in real time with a hard monthly dollar cap. That's the entire 'surprise bill' problem solved as a product primitive, not a settings page.

I'll be honest about the risks: Continue.dev is OSS and one motivated contributor could PR a cost ticker in a weekend. And transparency might cannibalize our own upsell — if users see they're only burning $2/mo, why pay $10? Those are real.

So the test is cheap: 14 days, ~$2k for an Anthropic-backed VSCode extension with a live cost ticker. Kill if <150 installs by day 14, <5 paid signups by day 30, or Continue ships the feature first. No edge here beyond execution speed — I'm not pretending otherwise.

Small bet, fast signal, clean kill criteria. Let's run it.

Problem
Software developers frustrated by GitHub Copilot price increases and unpredictable billing; want transparent-cost alternatives that work in VSCode.
Solution
Open-source VSCode extension bundling multiple cheaper LLM providers (Claude, Grok, local LLaMA) with per-request cost display and hard spend caps.
Target
Independent developers and small teams (50k+ in US); currently paying $20-30/mo for Copilot. Would switch for <$10/mo transparent pricing.
First test
Build minimal VSCode extension with Anthropic Claude backend + cost ticker. Release on marketplace. Measure: 500+ installs in 14d and 10+ paid tier signups?
Kill criteria
<150 installs by day 14 OR <5 paid tier signups by day 30 OR day-7 retention below 20% of installers (measured by active API calls) OR a Continue.dev cost-visibility feature ships publicly before day 45 → kill or hard pivot
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bet_20260427_aa1728 · proposed
Scale + legibility for tiny Etsy products
judge 75/100edge 1.5/10info product

Etsy buyers message sellers every day asking 'how big is this really?' even when the size is in the description. For the seller of 1-inch D&D tokens or engraved jewelry findings, that confusion is a lost sale — and PhotoRoom and Pixelcut, the supposed AI photo saviors, strip backgrounds but do nothing for size context or text legibility on micro-products.

The pond is small but real: ~500K active Etsy sellers move physical goods, and a defensible slice — call it 50K serious micro-product sellers under 2 inches. At 2% capture on a $9 one-time guide, that's ~$9K to validate; a $5/mo SaaS at 2% is ~$60K ARR. Not a unicorn — a probe.

The wedge is narrow and honest: 'scale overlay + text sharpening in one click,' which incumbents haven't bothered to ship because micro-products aren't their ICP. That's also the risk — Pixelcut could clone it in 60 days.

Why now: macro-sharpening AI got cheap in 2024, and Etsy's algorithm is punishing low-clarity listings harder than ever.

Why us: honestly, weak fit. Nothing in the manufacturing/Apple/aviation/wine background pulls weight here. This is a pure cheap-probe bet, not an edge bet.

The path: $0 capital, $7 Gumroad guide, posted to r/EtsySellers and seller Facebook groups. Kill at 14 days if under 8 sales. Kill the SaaS pivot if survey conversion under 25%. Kill entirely if Pixelcut ships scale overlay first.

Give me 14 days and zero dollars. If it dies, it dies fast.

Problem
Etsy sellers struggle to photograph small products (tokens, miniatures) at scale—showing detail and text readability simultaneously is difficult, leading to lost sales from confused buyers.
Solution
Provide a simple photography template/guide kit (printable scale cards, lighting setup) or AI-assisted photo enhancement tool that auto-scales and clarifies small product text.
Target
~500K active Etsy sellers with physical products under 2 inches; those with <$5K annual revenue most price-sensitive.
First test
Create a $7 Gumroad guide (photography checklist + printable scale cards). Post in r/EtsySellers and Etsy forums. Target: 20+ purchases in 14 days.
Kill criteria
<8 purchases of the $7 guide within 14 days of first Reddit/forum post AND zero organic reshares or unsolicited community mentions → kill the guide angle; OR purchases hit 20 but <25% of buyers respond positively to a follow-up 'would you pay $9/mo for an AI version?' survey by day 30 → kill the SaaS pivot; OR Pixelcut/PhotoRoom announces scale-overlay feature before founder reaches $500 cumulative revenue → kill entirely
To approve from Telegram: reply approve bet_20260427_aa1728
bet_20260427_eaad79 · proposed
Nightly nudge for the chores you forget
2026-04-27 · reddit:AppIdeas:new
judge 75/100edge 1.5/10consumer app

Everyone has the same dumb problem: the trash, the lightbulb, the filter — small undated chores that don't deserve a calendar slot, so they rot in your todo app until you smell them. Todoist and Apple Reminders force you to pick a time you don't have, so you don't log them, and they get forgotten until they become a fight with your spouse.

The market is real but commodity: ~2M English-speaking productivity-app payers, $3-5/mo, so even a 1% capture is roughly $700K ARR. Not a unicorn — a cashflow app.

The wedge is one mechanic no mainstream app ships: dump tasks with zero metadata, get one batched push during a window you pick (say 7-8 PM). Users complain about exactly this gap on Asana, Todoist, and Due forums. It's narrow and honestly trivially copyable — Apple or Google could ship it in a point release. That's the real risk, not the build.

Why now is weak; I won't pretend. Push-notification fatigue is actually getting worse, which cuts both ways. No specific operator edge here either — this is a generic consumer play, not a Lisandro-shaped one.

The path is what makes this worth a yes: the Android APK exists. Cost to test is basically zero — push 30 beta users, watch 14-day notification opt-out and reminder-action logs. Kill if >60% disable pushes or fewer than 3 users act on 3+ reminders. Two weeks, no capital, clean signal.

Let me spend two weeks and 30 users proving the nightly window is a habit, not noise.

Problem
People struggle to remember to do small unscheduled household tasks (trash, cleaning) because existing todo apps require either firm deadlines (guesswork) or manual app checks, so tasks get forgotten entirely.
Solution
Task dump app with no due dates; users get reminders only during self-chosen windows (e.g., 7-8 PM daily) via push notification.
Target
Individual productivity users; est. 2M+ people struggling with task recall; TAM ~$50M at $3-5/mo SaaS freemium model.
First test
Deploy existing Android .apk prototype to 30 beta users; measure: DAU retention at 7d and 14d, and whether users log ≥3 reminders acted on in 14d.
Kill criteria
<25% of beta users have push notifications still enabled at day 14 AND <3 total users log ≥3 reminder-actions in 14d AND zero unprompted paid upgrade inquiries by day 30 → kill
To approve from Telegram: reply approve bet_20260427_eaad79
bet_20260427_5e3e13 · proposed
Etsy ad ROI minus all the fees
judge 75/100edge 1.5/10b2b saas

Etsy sellers are flying blind. They burn $50-200/mo on Promoted Listings, watch Etsy's dashboard report 'revenue,' then quietly pause campaigns because nobody — not Etsy, not Erank, not Marmalead — subtracts the 6.5% transaction fee, 3% payment processing, listing fees, and COGS to show actual profit. The r/EtsySellers thread is a graveyard of 'I think my ads work? I can't tell.'

The market is real but thin: ~100K active Etsy advertisers, $9-19 ARPU. At 2% capture and $14 ARPU, that's ~$340K ARR — a lifestyle ceiling, not a rocket. The wedge is sharp though: every competitor is SEO-first (keywords, tags, listing optimization). Nobody owns 'is this campaign actually profitable after Etsy takes its cuts?' with a one-click pause/scale signal.

Why now is also why maybe-not: Etsy reportedly has a native profitability column in beta. If they ship it in 60 days, we're dead. No operator edge here — this isn't Lisandro's manufacturing or ops world; it's a generic SaaS bet on a closing window.

The path is honest: 14 days, ~$0 capital, Google Sheet template + manual CSV import (Etsy OAuth review is 6-12 weeks, so we punt the auto-connector to v2). Post in r/EtsySellers, target 50 signups, 10 active users, 3 organic shares. Kill if traction misses OR Etsy ships native profitability in 90 days.

I'll be blunt: weak edge, real kill-switch risk, modest ceiling. But it's a $0 test of a clean wedge in 14 days. Let's run it cheap and see who shows up.

Problem
Etsy sellers running ads see profit erosion from Etsy's fee structure (ads + transaction fees + payment processing) making ROI unclear, so they pause campaigns without data to optimize.
Solution
Simple ad ROI calculator/dashboard that auto-imports Etsy ads spend and sales data, shows true profit per campaign, and recommends pause/scale decisions.
Target
~100K Etsy sellers actively running ads; pain threshold when ads consume >30% of margin.
First test
Build a Google Sheet template with embedded Etsy API read-only connector. Offer free access to 50 sellers via r/EtsySellers post. Target: 25+ signups, 10+ active users in 14 days.
Kill criteria
<5 of 50 invited users complete OAuth/data connection within 14 days AND <8 active users (defined as opening the dashboard 2+ times) by day 14 AND <3 users voluntarily sharing results or asking questions in the signup thread by day 21 AND $0 MRR by day 45 → kill; OR Etsy announces native profitability metrics in Ads dashboard at any point in 90 days → kill regardless of traction
To approve from Telegram: reply approve bet_20260427_5e3e13
bet_20260428_f48c45 · proposed
Spaced-repetition prep for trade re-takers
judge 71/100edge 1.5/10info product

Half a million Americans sit for trade licensure exams every year — electricians, plumbers, HVAC, CSL contractors — and a huge slice are returning re-takers whose income literally depends on passing a test they last studied 3-5 years ago. Every existing tool treats them like first-timers: static flashcards from Mometrix, electrician-only apps like Dakota and ElectricianPro, no retention-decay model, no resumable path. They walk in cold and fail.

The market math is honest but thin: 500k annual test-takers, but the active 90-day retaker pool is maybe 200-400 people nationally per trade. At $25/mo for 8 weeks of prep, even 2% capture of 20k annual retakers = $100k ARR. Not a rocket — a niche.

The wedge: nobody bundles SRS + exam-mapped content + a 'pick up where you left off after 3 years' mode across plumbing, HVAC, and CSL — the underserved trades. Electrical is crowded; the others are wide open.

Why now: weak. Why us: also weak — none of your operator edges touch this vertical, and I won't pretend they do.

The path is what makes this worth saying yes to: $0 capital, one free Anki deck for CSL, posted to r/Construction in 14 days. Kill if <100 downloads, <5 retaker testimonials in 30 days, or <$300 paid by day 60. The death mode is real — free deck cannibalizes paid — and we'll know fast.

Give me 60 days and zero dollars. If retakers don't pull, we kill it clean.

Problem
Construction/trade license exam candidates (CSL, electrical, plumbing) struggle to retain knowledge after prep courses and lose confidence when retaking exams years later.
Solution
Spaced-repetition flashcard system + micro-practice tests specifically for trade licensing exams, with resumable study paths for people returning after gaps.
Target
Trade license candidates in US (electricians, plumbers, HVAC, etc.); ~500k attempt licensing exams annually; many retake after years away.
First test
Build free Anki deck for one CSL/trade exam; post in r/Construction and trade-specific subreddits; track: >100 downloads + 5+ users reporting they used it for retake prep.
Kill criteria
<100 Anki deck downloads in 14 days OR <5 unprompted qualitative reports from retake candidates (not first-timers) in 30 days OR <$300 in paid conversions (any format: one-time, sub, donation) by day 60 → kill or full pivot
To approve from Telegram: reply approve bet_20260428_f48c45
bet_20260428_7ca070 · proposed
Cash-flow ER for solo lawyers
2026-04-28 · reddit:Lawyertalk:new
judge 71/100edge 1.5/10b2b saas

Solo lawyers don't lose cases — they lose money. A 3-attorney shop watches $15-40k in receivables age past 60 days while their billing software pings them with a passive aging report nobody opens. The acute pain hits when a client stiffs them for $8k and payroll is Friday. That's the moment we want to own.

There are 200k+ solo and 2-5 attorney US practices. At a flat $39/mo (vs. Clio's $49/seat), 1% capture = 2,000 firms × $468/yr = ~$940k ARR. Real, not heroic.

The wedge is honest but thin: incumbents bundle AR into 20-feature suites solos don't configure. We do one job — proactive mid-case payment-risk flags and escalating reminders — out of the box in 10 minutes. The skeptic is right though: Clio already ships this feature unused, and if we don't sync with Clio we're dead in 2 weeks. So the real test isn't 'can we build it' — it's 'will a lawyer pay $39/mo for a focused tool over a free unused feature in software they already own?'

I won't pretend you have an edge here, Lisandro — legal SaaS isn't aviation or wine. This is a pure distribution and willingness-to-pay test.

The bet: $8k, 14 days to prototype + Clio CSV import, 45 days to find 3 paying trialists via legal Facebook groups and bookkeeper referrals. Kill at <5 demos by day 21 or <20% trial-to-paid by day 60.

Small check, fast no, clean kill. Let's find out if the pain is real or just loud.

Problem
Solo/small-firm lawyers lose revenue and face cash-flow crises when clients fall behind on bills mid-case, with no systematic collection or early-warning mechanism.
Solution
SaaS tool that tracks billable hours, auto-flags payment milestones, sends client payment reminders, and surfaces aging receivables dashboard for solo/small-firm practice.
Target
Solo and 2–5 attorney practices in US (estimated 200k+); those with $100k–$500k annual revenue and recurring billing problems.
First test
Prototype a simple billing dashboard + automated email reminder system. Onboard 5–10 small-firm lawyers, measure: average days-to-payment before vs. after, number of payment defaults averted, reduction in admin time on collections.
Kill criteria
<5 demos booked by day 21 AND <3 paid conversions (any price) by day 45 AND average trial-to-paid conversion rate <20% by day 60 → kill; OR if 5+ trialists onboard but 0 report checking the dashboard more than once per week by day 30 → kill (engagement signal overrides signup count)
To approve from Telegram: reply approve bet_20260428_7ca070
bet_20260428_a16d21 · proposed
Nightly pipeline-rot alerts, zero setup
2026-04-28 · reddit:AppIdeas:new
judge 70/100edge 1.5/10b2b saas

Sales reps waste 5.5 hours a week fighting stale CRM data, and VPs stare at forecasts they know are 23% wrong because nobody triages dead deals. Cleanup is everyone's problem and nobody's job — and the tools that fix it (Clari, Gong) cost $100-200/seat and need an admin army to deploy.

There are ~50k mid-market B2B SaaS sales orgs. At 1% capture and $50/seat × 30 seats average, that's ~$9M ARR reachable; even half that is a real business. The wedge: a CRM-agnostic nightly digest pushed to Slack or email — no dashboard, no admin, no Einstein license. Weflow needs Salesforce config; Pipeline Inspection needs Einstein Analytics; Clari needs a six-figure check. We need an OAuth token and a cron job.

Honest risk: HubSpot's Deal Rot Alerts is already in beta and could commoditize the flagging layer in 60-90 days. That means flagging alone is a feature, not a product — we'd need to earn the right to automate triage actions next.

No special operator edge here; this is a generic sales-ops play, and I'd rather say that than pretend.

The bet is small: 14 days, ~$3-5k in infra and outreach, 30 beta teams on freemium. Kill if fewer than 5 teams complete OAuth and get a digest by day 14, or rep-touch rate on flagged deals stays under 15% by day 30, or $0 paid by day 45.

It's cheap to learn whether push-format hygiene actually changes rep behavior. If it does, we know where to dig. Let's run the 14 days.

Problem
Sales teams know their pipeline has stale deals but don't clean them because it feels low-priority relative to new ones; dead deals waste pipeline visibility and forecast accuracy.
Solution
Lightweight nightly report tool that identifies deals untouched for N days and flags missing critical fields, surfacing decay without requiring manual triage.
Target
Mid-market B2B SaaS sales teams (200–5k reps) paying $50–200/user/mo for CRM hygiene tools. Addressable: ~50k sales orgs.
First test
Freemium integration with Salesforce/HubSpot for 30 beta teams; measure email open rates, deal-touch followup actions within 48h, and NPS after 2 weeks.
Kill criteria
<5 of 30 beta teams complete OAuth and receive ≥1 nightly digest by day 14 AND <15% of flagged deals receive a rep-touch action within 48h across active teams by day 30 AND $0 paid conversion (0 seats) by day 45 → kill
To approve from Telegram: reply approve bet_20260428_a16d21
bet_20260427_ab09e6 · proposed · wildcard
★ Flat-fee chargeback defense for Shopify
2026-04-27 · wildcard:opus
judge 67/100edge 2.0/10

Shopify merchants doing $1M-$10M GMV bleed 0.6-1% of revenue to chargebacks and have nowhere to go: Chargeflow takes 25% of every recovery (which compounds painfully at $80+ AOVs), Justt won't return your call unless you're Fortune 500, and Stripe's native tools are DIY busywork. That's a real, ongoing tax on the exact merchants nobody serves well.

The math: ~40k mid-tier Shopify stores, 10-50 disputes/month, $15 flat = $1.8k-$18k ARPU. Even 1% capture at the low end is ~$700k ARR. Wedge is transparent flat pricing plus zero-touch self-serve — Chargeflow has 15-20k merchants but their pricing inverts above $60 AOV and onboarding still requires calls. Why now: Shopify and Stripe both opened dispute submission APIs in the last 18 months, making programmatic representment actually possible.

Honest about the risks. I have no operator edge here — this is a pure execution bet in a domain I don't know. Bigger problem: win rate. Visa reason codes need attested data Shopify's API doesn't fully expose, and if we land below 60% wins, the flat-fee math breaks for merchants. Chargeflow can also add a flat tier overnight.

The path is cheap: $400 in Reddit/Twitter ads, a Loom demo, manual API setup behind the curtain. Kill if <5 merchants submit a real dispute by day 30, <$150 collected by day 45, or win rate <25% before day 90.

$400 and 6 weeks to learn if the wedge is real. Let's find out.

Problem
Shopify merchants doing $1M-$10M GMV get hit with chargebacks but Chargeflow/Justt are priced for enterprise and require integration calls; small merchants eat 0.6-1% of revenue in chargebacks with no automated representment.
Solution
Self-serve chargeback representment tool that pulls Shopify order data via API, auto-generates Visa/Mastercard compliant evidence packets, and submits via Stripe/Shopify Payments dispute API — flat $15/dispute, no sales call.
Target
Shopify merchants $1M-$10M GMV (~40k stores per Shopify's public merchant counts); also WooCommerce/BigCommerce mid-tier. Pay $15-30 per dispute filed, ~10-50 disputes/month per merchant.
First test
Build a Shopify-app landing page + Loom demo showing the evidence packet generation on a fake dispute. Run $400 in Reddit ads (r/shopify, r/ecommerce) and 200 cold DMs to Shopify store owners on Twitter. Measure: install intents + paid pre-orders for first 10 disputes at $15 each.
Kill criteria
<5 merchants complete full API auth + submit at least 1 real dispute via the tool by day 30 AND <$150 in dispute fees collected by day 45 AND observed win rate on submitted disputes <25% at any point before day 90 → kill
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bet_20260427_218fea · proposed
Small electrical contractors switching from QuickBooks Desktop to Service Titan face 4+ hours/week of manual…
judge 52/100edge 1.5/10b2b saas
(No pitch — this bet pre-dates the pitch generator. Source data only.)
Problem
Small electrical contractors switching from QuickBooks Desktop to Service Titan face 4+ hours/week of manual workarounds (payables, timekeeping, return-trip logging) because integrations are broken or missing.
Solution
Build a lightweight Service Titan ↔ QuickBooks Desktop sync middleware that auto-maps timesheets, payables, and return-trip codes; charge $99-149/month per business.
Target
~2,000 small electrical/HVAC shops (5-15 techs) stuck between legacy QB and Service Titan; currently losing 3-5 hours/week to manual entry.
First test
Post in r/ServiceTitan and electrical contractor forums offering a 14-day free trial of a basic timesheet sync; measure: do 3+ shops complete trial and express willingness to pay.
Kill criteria
<3 trial signups within 14 days of first forum post AND <2 shops complete a full sync cycle during trial AND $0 MRR by Day 45 → kill; OR ServiceTitan API approval not granted within 30 days of application → pivot or kill; OR technical discovery confirms QB Desktop SDK requires Intuit partner tier costing >$500/mo → kill unit economics immediately
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bet_20260427_a4154d · proposed
Security teams perform annual pen tests with 3rd-party firms, missing continuous vulnerability detection and paying for…
2026-04-27 · hn:ask_hn
judge 50/100edge 1.5/10ai native
(No pitch — this bet pre-dates the pitch generator. Source data only.)
Problem
Security teams perform annual pen tests with 3rd-party firms, missing continuous vulnerability detection and paying for periodic, batched audits.
Solution
AI agent that continuously scans infrastructure for vulnerabilities and generates pen test reports on-demand, replacing annual cycles.
Target
Mid-market to enterprise security/DevOps teams (50k-500k employees); ~5k teams in US alone paying $15-50k/year for pen testing.
First test
Build a free tier that scans one public repo/API endpoint daily for 14 days, email weekly vulnerability summaries; measure signups and retention.
Kill criteria
<8 free-tier scans actually executed (not just signups) by day 14 AND <2 demo requests from verified security/DevOps leads with budget authority by day 30 AND 0 teams progressing to a paid or pilot conversation by day 60 → kill
To approve from Telegram: reply approve bet_20260427_a4154d