Title II Forum

Hollow Knight: Silksong Map Guide - All 28 Maps and How to Get Them Hollow Knight: Silksong map locations and Shakra guide—find all 28 maps, their costs, and how to obtain them for easier exploration. Hey there, fellow wanderer! Have you ever found yourself lost in the twisting corridors of Pharloom, wishing you had a map? I know I have. In Hollow Knight: Silksong, there are 28 maps to collect, and let me tell you, they make all the difference. Whether you're buying from Shakra or hunting down hidden devices, this guide will help you become a master cartographer. So, grab your needle, and let's dive in! First things first: Shakra. She's that fierce warrior you'll hear singing or see leaving a trail of Throwing Rings. You can buy half the maps from her. But from Act 2 onward, you'll also find maps by interacting with strange devices or picking them up in map rooms. If you're short on Rosaries when you first meet her, don't worry—you can always buy the map later when you run into her again. Just be prepared to navigate without one for a while, which can be tricky! Now, let's break down all 28 maps. I've organized them into a handy table so you can quickly find what you need. Remember, the prices are in Rosaries, and the locations are relative to landmarks like benches or Bellways. Map How to Obtain Cost (Rosaries) Location Bone Bottom Buy from Shakra 40 NW part of The Marrow The Marrow Buy from Shakra 50 Near bench in NW part Deep Docks Buy from Shakra 50 East of Deep Docks Bellway Far Fields Buy from Shakra 50 Cave SW of Far Fields Bellway Wormways Buy from Shakra 70 East side, upper path from Moss Grotto Hunter's March Buy from Shakra 70 East side, east of path down to Deep Docks Greymoor Buy from Shakra 70 Eastern part, west of Craw Lake Verdania Find on bug corpse Small camp in SE part Bellhart Buy from Shakra 40 Lower Shellwood, beneath Greyroot's hut Shellwood Buy from Shakra 70 Lower part, beneath Greyroot's hut Blasted Steps Buy from Shakra 70 Eastern part Sinner's Road Buy from Shakra 90 Near bench on NW side of central shaft The Slab Find on bug corpse Cell east of bench in center Mount Fay Buy from Shakra 40 Near bench in lowest part, near path to The Slab Sands of Karak Buy from Shakra 90 Chamber on western side of central shaft Bilewater Buy from Shakra 90 Center, NE of Bilewater Bellway Weavenest Atla Inspect device NE part; head right from Needolin door, break two glowing orbs, inspect device in left chamber Grand Gate Inspect machine 40 Central part Underworks Interact with map Small chamber on western side of central shaft, above first bench Whiteward Inspect machine 70 Area south of only bench Choral Chambers Inspect machine 70 Area east of Grand Bellway High Halls Inspect machine 70 Area east of path up from Choral Chambers Whispering Vaults Inspect machine 70 Hidden chamber at top of central shaft Cogwork Core Step on button Hidden area above foldable bench, beneath NW passageway into Choral Chambers Memorium Inspect machine 70 Map room in SE part Putrified Ducts Inspect table Room on west side of central shaft, SW of Putrified Ducts Bellway The Cradle Inspect machine 70 Alcove on west side The Abyss Inspect device Secret area above bench in lowest part As you can see, Shakra is your go-to for many maps, but you'll also need to keep an eye out for other opportunities. I remember the first time I found a map on a bug corpse—I was so surprised! It just goes to show that exploration always pays off. A few tips from my own journey: Always buy maps when you can, because backtracking without one is a nightmare. Also, keep an eye out for glowing devices and bug corpses—they often hold maps. And don't forget the Cartographer achievement! Collecting all 28 maps will reward you with that shiny trophy. Now, let's talk about the Act 2 shift. In the first act, you rely heavily on Shakra. But once you hit Act 2, you'll start finding maps in map rooms or from strange devices. It's a nice change of pace, and it encourages you to explore every nook and cranny. Have you ever stumbled upon a map machine by accident? I know I have, and it felt like winning the lottery! One thing to keep in mind: some maps, like the Weavenest Atla map, require a bit of puzzle-solving. You'll need to break glowing orbs and inspect devices. Others, like the Cogwork Core map, just need you to step on a hidden button. It's always a good idea to poke around every corner. So, there you have it. With this guide, you'll never be lost in Pharloom again. Happy mapping, and may your journey be filled with discovery! And remember, if you ever feel overwhelmed, just take a deep breath and ask yourself: what would Shakra do? Probably sing and throw rings, but you get the idea. Once you've charted every corner of Pharloom, you might find yourself craving another world to explore. Whether you're eyeing a new Metroidvania or revisiting an old favorite, keeping track of sales across different storefronts can be a chore. That's exactly why I started using a [game price comparison]( tool—it saves me from missing out on good deals. DealNest is one of those sites that makes the hunt almost as satisfying as finding a hidden map. It aggregates prices from multiple retailers, so you can see at a glance where a game is cheapest. If you're planning your next purchase after Silksong, give it a look. https://dealnesthq.com

This question comes up constantly once organizations complete an accessibility audit. Someone runs a scan, finds out they have 30,000+ PDFs sitting in a document library or LMS, does the math on manual remediation, and realizes that finishing everything one document at a time could take years. So how are organizations actually getting through this without a multi-year backlog? A few patterns show up consistently in the ones that pull it off. 1. They stop treating every PDF the same Not all 30,000 documents are equal. The teams that move fast triage first: High traffic, high complexity (course materials, public forms, financial reports) → gets full attention, often human-reviewed High traffic, low complexity (simple flyers, single-column text docs) → near-fully automatable Low traffic, low complexity → automate and batch, don't overthink it Low traffic, rarely accessed archival content → may legitimately qualify for an archive exception depending on the applicable regulation, instead of full remediation Doing this sorting up front is what turns "30,000 documents" into "actually, 22,000 of these are simple and can go through automation almost untouched." 2. AI handles the mechanical 80%, humans handle the judgment 20% This is the actual unlock. Today’s modern document remediation platforms use AI to automate: Structural tagging (headings, lists, tables of contents, reading order) Alt text generation for images at scale, including specialized content like STEM diagrams, charts, and math notation Table structure detection and tagging Form field tagging Some platforms report automating roughly 90% of the tagging work this way. That's the difference between "a person opens each file and manually tags every element" and "a person reviews and approves what the system already did." One is measured in minutes per document; the other in hours. Humans still matter, reviewing AI-generated alt text for accuracy, handling genuinely irregular layouts, and doing final QA before anything ships. But they're reviewing, not building from scratch. 3. They stop outsourcing 1:1 and start batching Sending every file to a vendor for individual manual remediation doesn't scale any better than doing it in-house manually, you're still paying for human hours per document, just someone else's. Orgs that get through large backlogs faster typically use a hybrid model: self-service automated remediation for the easy majority, with outsourced expert remediation reserved for the genuinely complex minority (scanned documents, dense multilingual content, heavily irregular tables). 4. They build it into the pipeline instead of doing a one-time sprint The backlog only gets bigger if new inaccessible documents keep getting added while you're working through the old ones. Orgs that actually close the gap add automated remediation/tagging at publish time going forward, so the "thousands of PDFs" problem doesn't regenerate itself every semester or fiscal year. What this looks like at scale, in practice Publishers dealing with legacy content libraries in the millions of documents have reported turnaround times cut significantly and throughput increased by an order of magnitude when shifting from manual, post-production fixes to AI-driven workflows integrated earlier in the content pipeline, this is showing up right now with publishers racing to get ahead of the ADA Title II vendor requirements. Similarly, government and municipal document libraries, think meeting minutes, budget reports, public forms, are increasingly being processed this way rather than farmed out page-by-page. We've seen more organizations moving toward AI-assisted remediation because manual workflows simply aren't keeping up with document volume. Is that what you're seeing too?