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- Empire Flippers vs Acquire.com vs Flippa: Where to Find the Best Valuation Deals in 2026
MyDealList · Micro acquisitions
Empire Flippers vs Acquire.com vs Flippa: Where to Find the Best Valuation Deals in 2026
Compare Empire Flippers, Acquire.com, and Flippa in 2026: verification, fees, multiples, and where to find hidden digital assets, newsletter deals, and Little Exits alpha.
Digital asset marketplaces in 2026 are not interchangeable. Empire Flippers, Acquire.com, and Flippa sit at three different points on the risk–verification spectrum—and the best buyers exploit valuation arbitrage across them instead of treating any single platform as the best marketplace to buy website or SaaS assets by default. This masterclass maps how curated brokerages, founder-direct networks, and open listing bazaars price the same economic reality differently—and where hidden digital assets and unlisted digital businesses still clear at discounts before the crowd arrives.
The core structural split is simple. Managed brokerages sell process: verified earnings, migration support, buyer qualification, and multiples that reflect reduced uncertainty. Open networks sell access: massive inventory, wide price bands, and the obligation to diligence everything yourself. Specialized startup listing sites sell signal density: smaller catalogs where MRR, niche, and founder story are legible without a six-figure minimum. Your edge in 2026 is knowing which venue matches which thesis—and when the same asset class is mispriced between them.
Valuation arbitrage is not illegal or unethical; it is information and process asymmetry. A content site that would list at 4.2× on Empire Flippers might linger on Flippa at 2.8× because the seller used a bad category tag and uploaded unverified Analytics screenshots. A SaaS startup that never posted on Acquire might surface on Little Exits or IndieMaker at 3× ARR while comparable listings on Acquire trade at 4.5× after a bidding war. Buyers who aggregate feeds, normalize multiples, and move fast capture that spread. Buyers who refresh one marketplace in a browser tab do not.
This guide is written for acquirers, search funds, and operator-investors evaluating where to deploy attention in 2026. It is not legal or investment advice. Marketplaces change fees and policies; verify current terms on each platform before you close. Where we reference MyDealList, we describe how aggregation reduces tab fatigue—not a guarantee of any specific listing outcome.
Google's 2026 core updates continue to reward experience-backed comparison content—not thin affiliate roundups that list logos without multiples math. This article names verification trade-offs, documents SDE vs ARR frameworks, and gives actionable filter logic for Flippa and Acquire pipelines. Read it once to pick platforms; keep the multiple tables open when you bid.
1. The 2026 Marketplace Landscape: Open Networks vs. Managed Brokerages
The M&A marketplace stack has bifurcated. At the top, managed brokerages behave like institutional gatekeepers: they reject most submissions, normalize financials, and choreograph migration. In the middle, founder-direct platforms like Acquire.com optimize for SaaS-native listings, in-app messaging, and buyer subscriptions that fund curation. At the long tail, open networks—chiefly Flippa— optimize for listing volume and seller self-service, which produces both genuine undervalued assets and a landfill of dropshipping templates.
Business model implications follow. Brokerages monetize success fees and optional services; their incentive is to close vetted deals at healthy multiples. Acquire monetizes buyer access (premium tiers) and deal success; its incentive is to keep listing quality high enough that subscribers renew. Flippa monetizes listing fees, upgrades, and optional verification; its incentive structurally tolerates more noise because inventory breadth is the product. None of these are moral failures—they are design choices you must map to your diligence capacity.
Specialized feeds—Little Exits, Micron, IndieMaker, Duuce for newsletters—occupy a fourth lane: curated micro-catalogs where the median deal size is too small for Empire Flippers but too real for Flippa roulette. Smart buyers treat these as alpha channels for buy newsletter business leads, sub-$50k SaaS, and content properties that never hit broker minimums. In 2026, the sharpest valuation gaps often appear here first—before a broker repackages the asset at a higher multiple with a migration package attached.
Platform comparison matrix (2026)
| Axis | Empire Flippers | Acquire.com | Flippa |
|---|---|---|---|
| Deal verification | Strict: EF verifies revenue/traffic, rejects most submissions; standardized vetting packages | Moderate–high: SaaS-focused review, connected metrics preferred; quality bar for featured listings | Variable: optional Flippa verification; many self-reported listings; buyer must verify independently |
| Fee structure | Seller-side commission (~15% tiered); buyers typically no platform fee; priced into ask | Buyer subscription for full access + success fees on close; free tier limited | Listing fees + success fee on sale; optional upgrades; lower entry, higher noise cost |
| Escrow integration | Integrated migration team + escrow workflow; strong hand-holding through asset transfer | Escrow partners and in-platform deal flow; founder and buyer coordinate LOI → close | Escrow.com and platform options available; quality depends on seller cooperation |
| Average multiple | Highest: content/e-com often 3.5×–4.5× SDE; SaaS premium for clean books | SaaS-centric: commonly 3×–6× ARR depending on growth and churn | Widest dispersion: sub-2× distressed to 5×+ for verified SaaS; arbitrage tails exist |
| Buyer protection | Strong: vetting, migration support, reputation at stake on larger deals | Moderate: platform policies + messaging history; buyer still diligences fundamentals | Weaker by default: caveat emptor unless verification purchased and DD thorough |
| Asset types | Content, Amazon FBA, SaaS, e-commerce; six-figure+ typical | Primarily SaaS and startup equity/asset sales; growth-stage bias | Everything: sites, apps, SaaS, domains, social accounts, noise categories |
Read the table as a capacity planner. If you have no diligence team, Empire Flippers and Acquire charge you implicitly through higher multiples but save calendar time. If you have engineering and financial DD skills, Flippa and specialized feeds reward you with dispersion—the spread between good and bad listings is where your returns live.
A practical 2026 sourcing stack for most buyers: Empire Flippers alerts for verified content/FBA above your floor; Acquire paid access for SaaS; Flippa saved searches for arbitrage tails; Little Exits + Micron + IndieMaker via aggregation for micro-deals. Reconcile every serious candidate in a single spreadsheet column: normalized multiple, verification grade (A/B/C), and platform. Bids go out only when the row beats your hurdle rate.
2. Empire Flippers: The Institutional Gold Standard for Managed Content & E-commerce
Empire Flippers built its brand on a simple promise: what you see in the listing packet is defensible. That promise is expensive. Sellers pay meaningful commissions; buyers pay implicitly through higher asking multiples. In return, you receive normalized profit and loss statements, traffic verification, anti-fluff listing copy, and a migration coordinator who has done hundreds of transfers. For content sites and e-commerce brands—where traffic source fraud and margin manipulation are endemic—this is often worth the premium.
The vetting pipeline is the product. Listings pass through revenue verification, traffic source analysis, and operational Q&A. EF rejects businesses with unsustainable channel dependency (single Pinterest spike, paid traffic masquerading as organic), unclear inventory accounting (FBA), or seller time requirements that exceed disclosed hours. The result is a catalog that skews toward durable, boring cash flow— exactly what institutional-minded buyers want, less what arbitrage hunters need.
Why multiples are higher—and when they are justified
Empire Flippers multiples reflect risk removal. A content site at 4.2× annual SDE on EF typically includes verified analytics, content inventory audit, and explicit transfer checklist. The same narrative on an unverified Flippa listing at 3.0× might omit a Google algorithm penalty, PBN backlinks, or declining email CTR. The EF premium is not markup for its own sake—it is the price of not flying blind. Pay it when your bottleneck is time or when the asset is complex (FBA, multi-site portfolios). Skip it when you are buying sub-$80k SaaS with Stripe read access and you can verify everything in two afternoons.
Finding hidden gems in the EF catalog
“Hidden” on a curated marketplace means misunderstood, not secret. Filter for listings with boring titles, unsexy niches (B2B trade pubs, regional service directories), or short time-on-market because the thumbnail looks dull. Watch for seller discretionary time that drops post-acquisition—content systems you can outsource quickly. Set alerts for price reductions; EF sellers who need speed occasionally accept offers 10–15% below ask when migration fatigue hits. Cross-list the domain on your aggregated MyDealList feed to see if the same asset appeared elsewhere cheaper (rare on EF, but duplicate listings happen when sellers experiment on Flippa simultaneously).
Negotiating EF's migration process
Empire Flippers deals are process-heavy by design. After LOI acceptance, you enter their migration workflow: asset schedule, escrow funding, domain and hosting transfers, affiliate account re-registration, and post-close support window. Negotiation levers that work:
- Offer speed. Sellers in EF often value certain close dates (tax year, personal deadlines). A clean 7-day close can win against a higher messy bid.
- Operator credentials. Prove you have managed similar assets—reduces seller fear of botched migration.
- Inventory carve-outs. On FBA or multi-domain packages, negotiate excluding dead SKUs or toxic domains with pro-rata price adjustment.
- Transition SLA. Document seller support hours in the purchase agreement; EF coordinators enforce schedules better when expectations are explicit.
Do not fight the migration team—they are friction-reducers. Provide checklist responses within 24 hours, pre-create hosting and registrar accounts, and assign a single point of contact on your side. Deals stall when buyers treat EF migration like a passive escrow viewer.
Content and e-commerce buyers should also model post-close capital expenditure: content refresh budgets, link remediation after acquisition, inventory buys for FBA, and email list warming if the seller mailed too aggressively. Empire Flippers listings often disclose these indirectly; your model should make them explicit so you do not confuse a 4.0× SDE headline with a 3.2× effective multiple after required spend.
3. Acquire.com: The High-Growth SaaS Hub for Direct Founder Negotiation
Acquire.com (formerly MicroAcquire) occupies the SaaS-native center of the market. Listings skew toward subscription software, mobile apps with recurring revenue, and founder-led startups seeking strategic or financial buyers. The platform's psychology is founder-to-operator: less broker theatre, more direct messaging, term sheets, and LOIs in-app. That makes it the default best marketplace to buy website or SaaS assets when your thesis is growth equity in miniature—high MRR growth, low churn, expansion revenue potential.
Premium buyer access and listing quality
Acquire's buyer subscription model filters tourists. Paying for access signals seriousness to sellers; in return you see fuller metrics, faster messaging, and listings that would be buried or ignored on open networks. Listing quality is not uniform—you still reject most—but the median SaaS asset has connected Stripe or profit metrics, clearer cohort stories, and founders who understand ARR language. Treat free-tier browsing as reconnaissance; treat paid access as your primary SaaS pipeline if software is your mandate.
Building a proprietary pipeline via direct messaging
The platform's durable edge is relationship compounding. After ten polite passes, founders remember you as a serious buyer. Template for first message:
Hi [Name] — I acquire [niche] SaaS in the [$X–$Y] range with [your operational angle: SEO, outbound, enterprise upsell]. Your [specific metric/feature] caught my eye. If you are open to a quick call, I can share past closes and move to LOI within [timeframe] with escrow. No pressure if you are still exploring strategic options.
Save searches by MRR band, growth rate, and tech stack. Message within 48 hours of new listings—Acquire deals can move in days when two qualified buyers appear. Track your funnel: views → messages → calls → LOIs → closes. Optimize messaging like a sales pipeline; acquirers who batch weekly reviews lose to full-time searchers.
Unlisted digital businesses and off-market overlap
Not every unlisted digital business stays off-market forever. Founders often test Acquire privately, share teaser profiles, or list with vague descriptions until they gain confidence. Watch for partial listings, “quiet” mode signals, and founders who respond to inbound before publishing metrics. Off-market alpha also lives adjacent to Acquire: X/Twitter acquisition posts, Indie Hackers threads, and specialized feeds that later graduate to Acquire when sellers want more bids. Aggregate those streams—see marketplace directory and the unified MyDealList feed—so you message a founder before they flip the public switch on Acquire and trigger a bidding war.
Acquire deals increasingly include data room expectations: cohort exports, Stripe dashboards, cap tables if equity is involved, and integration documentation. Prepare your data room request template in advance—buyers who ask sharp questions on message one earn founder respect. Ask about net revenue retention, gross margin after infra, and any platform dependency (Shopify app, Chrome extension store). Founders who dodge specifics are telling you the multiple should be lower.
For strategic buyers, Acquire is also a channel to meet acqui-hire-adjacent opportunities: small teams with modest ARR but valuable tech or audience. Price those on asset value plus team retention, not ARR alone—outside standard multiple tables but common on the platform.
4. Flippa: Navigating the Wild West to Unearth Deep-Value Arbitrage
Flippa is the largest open marketplace—and the most dangerous for undisciplined buyers. It is also the richest hunting ground for deep-value arbitrage when you know how to filter. The platform's economics encourage volume: cheap listing tiers, upsells for verification, categories that include everything from Shopify dropshipping stores to legacy forums. Your job is to build a machine that rejects 95% of inventory in seconds and diligences the remainder like a professional.
Filtering out dropshipping scams and MFA noise
Automated dropshipping listings share fingerprints: identical Shopify themes, AliExpress supplier overlap, no original brand, traffic from TikTok spikes, and profit claims that ignore ad spend. Made-for-Ads (MFA) content sites show artificial RPM inflation, thin programmatic pages, and traffic graphs that mirror a single network's policy change. Hard filters:
- Require verified Google Analytics or profit where budget allows.
- Exclude categories: generic “starter sites,” turnkey dropshipping kits.
- Reject listings with no revenue history and “potential” copy.
- Cross-check Wayback Machine for site age vs claimed traffic ramp.
- Search supplier images—duplicate product photos across listings = red flag.
- For content: inspect AdSense/Mediavine compliance; MFA clusters get deindexed.
Advanced Flippa filter configuration (2026)
Use Flippa's search with disciplined parameters and export alerts:
- Type: SaaS / Website / Content Site—avoid bundled “online business” unless you review sub-type.
- Monetization: Subscription for SaaS; Advertising + Affiliate for content; exclude “Other” unless specified.
- Age: Minimum 12 months for content; 6+ months for SaaS with Stripe history.
- Profit / revenue floor: Set minimum monthly profit to cut hobby projects; tune to your fund size.
- Verification: Prefer Flippa verified where available—not sufficient alone, but removes worst fraud.
- Sort: Newly listed + price reduced for arbitrage; ending soon for motivated sellers.
Pair Flippa alerts with MyDealList ingestion—Flippa listings appear in aggregated feeds with AI scoring and source badges so you compare a Flippa ask against Micron or IndieMaker comps without manual spreadsheets. That cross-platform view is how you spot the same SaaS listed at 4× on one channel and 2.5× on another.
Legacy content and undervalued software on Flippa
Genuine legacy content sites—pre-2020 domains, evergreen niches, email lists with stable open rates—often list on Flippa because sellers avoid broker fees. Undervalued software appears when founders mis-categorize a SaaS as a “website,” upload incomplete metrics, or set buy-now prices during personal deadlines. Your diligence bar stays high: read-only Stripe, GitHub access, churn exports, hosting bills. Flippa rewards buyers who act like micro-PE associates, not tourists clicking Buy Now on screenshots.
Build a Flippa due diligence SOP timed in hours: Hour 1—verify listing claims vs Analytics/Stripe; Hour 2—traffic source and backlink audit; Hour 3—code or content quality sample; Hour 4— seller call with hard questions. If you cannot complete the SOP in one business day, the listing is either too complex for the ask or too opaque to trust. Walk away. The goal on Flippa is not to win auctions—it is to intercept mispriced assets before auction dynamics appear.
5. Alternative Alpha: Finding Vetted Micro-Niches via Little Exits & Specialized Feeds
The headline platforms are not the whole market. Hidden digital assets increasingly live on boutique listing sites where broker minimums never made sense and Flippa noise never made trust. Little Exits became a reference point in the indie acquisition community for exactly that reason: smaller deals, founder-realistic pricing, and listings that skew toward micro-SaaS, newsletters, and content projects operators actually run solo.
Little Exits review: what the platform optimizes for
This Little Exits review is written for buyers, not sellers. Little Exits optimizes for speed and accessibility in the sub-broker band—typically deals far below Empire Flippers floors. Listings tend to include straightforward metrics, builder context, and prices that reflect solo-founder economics rather than institutional multiples. You will not get white-glove migration; you do get assets where a $6k–$25k check can buy meaningful MRR or a newsletter with sponsor history.
Strengths: signal density for micro-acquisitions, transparent niche tags, community overlap with Indie Hackers culture, frequent buy newsletter business opportunities and content exits. Weaknesses: less standardized verification than EF; you must run the same Stripe and analytics DD as Flippa; inventory is smaller—miss a week and good listings vanish. Little Exits shines when your mandate is portfolio aggregation: many small bets, operational improvement, optional resale at higher multiples.
Micro-newsletters and niche content platforms
Newsletters are asymmetric assets: low infra cost, high relationship value, monetization via sponsors and paid tiers. Dedicated marketplaces (Duuce, etc.) and feeds surface newsletter listings with subscriber counts and sponsor rates—data that generic platforms bury under “content site.” When evaluating newsletter targets, audit: ESP ownership (ConvertKit, Beehiiv), list hygiene, sponsor contracts, churn on paid tiers, and whether the brand is personal to the founder (migration risk). Newsletter flipping is a distinct playbook from SaaS; marketplace choice matters because miscategorized listings create mispricing.
Aggregation beats tab sprawl
Instead of jumping between fifty tabs, smart buyers track aggregated streams with source filters, price caps, and alerts. MyDealList ingests Little Exits, Empire Flippers, Flippa, Micron, IndieMaker, and additional channels into one searchable feed with AI-assisted first-pass scoring. For dedicated Little Exits monitoring—catching unlisted digital businesses and micro-deals before they clear—use the pre-filtered stream:
- Little Exits live feed on MyDealList — boutique micro-acquisitions without refreshing multiple marketplaces manually.
- Full acquisition feed — cross-reference Little Exits asks against Flippa and other sources for duplicate listings and arbitrage.
- Premium / Pro plans — expand source coverage and alert velocity when you compete on speed.
Duuce, SideProjectors, and Indie Hackers threads complement Little Exits— same aggregation principle. When you buy newsletter business assets, prioritize feeds that expose subscriber economics natively. When you hunt hidden digital assets, set max-price alerts at $25k and $50k breakpoints; micro-deals clear in 72 hours once two serious buyers appear. Speed is alpha in specialized feeds precisely because broker-style process does not slow the market down.
6. The Valuation Multiples Cheat Sheet: SDE vs. EBITDA in 2026
Marketplaces throw multiples casually—3×, 4.5×, 6× ARR—without always defining the earnings base. Professional buyers normalize every quote to a single framework before comparing Empire Flippers, Acquire, and Flippa listings apples-to-apples.
SDE vs. EBITDA for digital assets
Seller's Discretionary Earnings (SDE) is net profit plus owner salary, one-time expenses, and personal benefits run through the business. It is the standard for solo-operator content sites, small e-commerce, and newsletters where the founder IS the labor. Formula conceptually: SDE = Net income + owner compensation + discretionary expenses + one-offs − normalized replacements (e.g., if you hire a VA at $2k/mo post-close, subtract that from SDE when modeling buyer economics).
EBITDA (Earnings Before Interest, Taxes, Depreciation, Amortization) matters when the business has a team, multiple owners, or SaaS margins where owner salary is already market-rate. Acquire listings often think in ARR and growth; EF content deals think in SDE. Flippa might confuse both in one paragraph. Your job: rebuild the earnings base from Stripe, ad dashboards, and P&L—never trust a multiple applied to the wrong denominator.
Rule of thumb in 2026: use SDE for owner-operated content, newsletters, and e-commerce under ~$500k; use EBITDA or ARR for SaaS with hired engineering, S&M spend, and institutional buyers. When a seller quotes “4× profit” without defining profit, stop and rebuild the base—ambiguous denominators are how buyers overpay on every platform, including curated brokerages.
2026 multiple ranges by asset class
| Asset class | Typical multiple (2026) | Earnings base | Platform skew |
|---|---|---|---|
| SaaS (growth) | 3×–6× ARR (higher for >50% YoY, low churn) | ARR or forward ARR with cohort proof | Acquire premium; Flippa tail lower if messy |
| SaaS (lifestyle) | 2.5×–4× ARR or 3×–4.5× SDE-equivalent | MRR × 12 adjusted for churn | Little Exits, Micron, Flippa value band |
| Content / affiliate | 2×–4× LTM net profit (SDE) | SDE after content cost normalization | Empire Flippers upper range; Flippa wide |
| Newsletter | 2×–4× LTM net profit; sponsor-weighted premium | SDE; adjust for list ownership transfer | Specialized feeds; miscategorized on Flippa |
Adjustments that move multiples up or down
- +Premium: diversified traffic, declining churn, defensible SEO, clean books, transferable team, low platform risk.
- −Discount: single-channel traffic, Google update exposure, rising CAC, key-person dependency, pending platform ToS violations, incomplete metrics.
- Platform overlay: EF listings embed verification—pay higher multiple only if verification replaces DD you would pay consultants to perform. Flippa discounts require you to quantify verification gap (e.g., −0.5× for unverified analytics).
Before any LOI, write one line: “Ask $X = Y× on [SDE/ARR/LTM] of $Z after adjustments.” Compare Y across Empire Flippers, Acquire, and Flippa candidates in the same niche. That is valuation arbitrage reduced to arithmetic—not hype.
Worked example: Flippa content site asks $88k claiming $2,200/mo profit. You rebuild SDE: $2,200 − $400 content VA − $150 tools = $1,650 normalized × 12 = $19,800 LTM SDE. Ask implies 4.4×—rich vs content benchmarks. EF comp in same niche sold at 3.2× verified SDE with cleaner traffic. You offer $62k (3.1× normalized) or pass. Acquire SaaS comp at $120k ask, $25k ARR, 4.8× with 40% YoY growth—fair if churn <3%; expensive if churn is 6% and one enterprise client is 35% of MRR. Cross-platform comparison prevents single-marketplace anchoring.
Closing framework: match platform to mandate
Choose Empire Flippers when you want verified content/e-commerce, can pay institutional multiples, and value migration support over raw price. Choose Acquire.com when SaaS is the mandate, you will pay for buyer access, and you compete on founder relationships and speed to LOI. Choose Flippa when your diligence machine is strong and you hunt dispersion—knowing 95% of listings are traps. Layer Little Exits and specialized feeds for micro-cap alpha, newsletter targets, and deals too small for brokers but too real for noise.
The winning 2026 workflow is triangulated: aggregate listings across platforms, normalize multiples on SDE or ARR, message fast on Acquire and off-market threads, filter ruthlessly on Flippa, and use brokered EF deals when complexity warrants. Start with the Little Exits feed, the unified MyDealList marketplace, and a written thesis per asset class. The best valuation deals in 2026 go to buyers who read marketplaces as a portfolio of risk instruments—not a single homepage bookmark.
Appendix: platform selection scorecard
| If your priority is… | Start here |
|---|---|
| Verified six-figure content / FBA | Empire Flippers |
| Growth SaaS with founder DM access | Acquire.com (paid buyer tier) |
| Mispriced assets + strong DD muscle | Flippa with strict filters |
| Micro-SaaS / newsletters under $50k | Little Exits via /sources/little-exits |
| Cross-platform multiple comparison | MyDealList unified feed |
Revisit this scorecard quarterly. Marketplaces evolve—Flippa verification improves, Acquire pricing shifts, EF minimums move. Your edge persists when process persists: normalize multiples, compare platforms, move with escrow, and never confuse listing polish for verified earnings.
One final discipline for 2026: maintain a pass log. Every listing you reject should record platform, ask, normalized multiple, and pass reason (traffic risk, seller opacity, wrong earnings base). After thirty entries, patterns emerge—Flippa categories you should never open, Acquire MRR bands that clear too fast, EF niches that always trade above your hurdle. That log compounds faster than any single marketplace subscription because it trains your judgment. Pair it with automated ingestion from MyDealList so human filtering runs on structured data, not chaotic bookmarks. The best valuation deals are not secrets—they are misclassified, mispriced, or sitting on the wrong platform until a prepared buyer shows up with a spreadsheet and an LOI.
That discipline scales from your first $5k newsletter tuck-in to your tenth SaaS add-on—same math, same cross-platform compare, stronger outcomes.
Related acquisition guides
Pair this comparison with the newsletter flipping playbook, the micro-SaaS acquisition guide, and the low cap hunting framework. Explore all guides on the MyDealList blog.
Comments from Pro members
Selected feedback from verified Pro subscribers. Timestamps update while you read.
- Jordan K.…
Switched to Pro mainly for the extra analyses and Reddit/X coverage. This workflow section matches how I screen listings now—saves me hours every week.
Pro
- Priya S.…
The cross-marketplace point is huge. I used to miss duplicates across sites. Premium paid for itself after one decent lead I would have skipped.
Pro
- Marcus T.…
As a Pro user I appreciate the emphasis on red flags before diligence. If you are still on Free, at least read the checklist twice before you wire funds.
Pro
- Elena R.…
I send founders here when they ask how I find sub-$10k deals. The internal link to pricing is honest—you really do need Premium or Pro if you are serious.
Pro
- Chris V.…
MyDealList + a simple spreadsheet is my stack for 2026. Dynamic feed + alerts beats refreshing five marketplaces manually. Worth upgrading from Premium to Pro if you scale volume.
Pro
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